# Stackzilla.io — Tech Stack Intelligence Platform for Professionals

> Stackzilla is a comprehensive tech stack intelligence platform featuring 855+ curated developer tools with deep learning guides, career impact analysis, community ratings, and job role mapping. Designed for software professionals who want to stay current, get hired, and master the tools that matter.

## What Is Stackzilla?

Stackzilla helps developers, job seekers, and tech professionals research, compare, and understand the development tools mentioned in job postings and modern tech stacks. Each tool page is a structured intelligence brief covering:

- **Overview & description** — what the tool is, what problem it solves
- **Key features** — the most important capabilities
- **Pros & Cons** — honest assessment from community and editorial perspective
- **Getting started guide** — how to begin using the tool
- **Career impact** — how learning this tool affects job opportunities and salary
- **Job roles** — which roles most commonly require this tool
- **Skills** — technical skill areas the tool belongs to
- **Industries** — sectors where the tool is most used
- **Learning resources** — curated links to courses, docs, certifications, and communities
- **Community ratings & reviews** — from verified users

## Tool Categories (39+ categories, 855+ tools)

Programming Languages, Web Frameworks, Databases, Cloud Platforms, DevOps & Infrastructure, Version Control, Containerization & Orchestration, CI/CD, Monitoring & Observability, Testing & QA, Package Managers, Build Tools, APIs & API Gateways, Authentication & Identity, Caching, Message Queues & Streaming, Data Engineering & Pipelines, Machine Learning & AI, Business Intelligence & Analytics, Mobile Development, Game Development, Security & Compliance, Networking, Operating Systems, IDEs & Editors, CMS & Content, E-commerce, Low-code & No-code, Collaboration Tools, Project Management

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## Tool Samples (50 most popular tools)

The following entries represent a sample of the tools indexed on Stackzilla. Each tool has a full profile at https://stackzilla.io/tools/{slug}

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### Python — Programming Language
URL: https://stackzilla.io/tools/python | Website: python.org
Overview: High-level interpreted language widely used for web development, data science, AI, and automation. Known for readable syntax and extensive libraries (NumPy, pandas, Django, Flask).
Best for: Data Scientist, Software Engineer, ML Engineer, Backend Developer, DevOps Engineer
Key skills: Python syntax, NumPy, pandas, Django, Flask, Machine Learning, Scripting

### JavaScript — Programming Language
URL: https://stackzilla.io/tools/javascript | Website: developer.mozilla.org/en-US/docs/Web/JavaScript
Overview: The primary programming language of the web. Runs in browsers and on servers (Node.js). Essential for frontend development and widely used for backend and full-stack applications.
Best for: Front-End Developer, Full-Stack Developer, Web Developer, Software Engineer
Key skills: ES6+, DOM manipulation, async/await, Node.js, React, Vue, Angular

### TypeScript — Programming Language
URL: https://stackzilla.io/tools/typescript | Website: typescriptlang.org
Overview: Strongly typed superset of JavaScript developed by Microsoft. Adds static types, interfaces, and generics for large-scale JavaScript development.
Best for: Front-End Developer, Full-Stack Developer, Backend Developer, Software Engineer
Key skills: TypeScript, JavaScript, Type Systems, Node.js, React, Interfaces, Generics

### SQL — Programming Language / Database
URL: https://stackzilla.io/tools/sql | Website: postgresql.org
Overview: Structured Query Language for managing and querying relational databases. Core skill for database, analytics, and backend roles across virtually every industry.
Best for: Database Administrator, Data Analyst, Software Engineer, Data Scientist, Backend Developer
Key skills: Query optimization, Schema design, Joins, Aggregations, Data modeling

### Python — Programming Language
URL: https://stackzilla.io/tools/python | Website: python.org
Overview: High-level interpreted language widely used for web development, data science, AI, and automation.
Best for: Data Scientist, ML Engineer, Backend Developer, DevOps Engineer
Key skills: NumPy, pandas, Django, Flask, scikit-learn, Machine Learning

### Go (Golang) — Programming Language
URL: https://stackzilla.io/tools/go | Website: go.dev
Overview: Open-source programming language by Google designed for building fast, secure, scalable systems. Popular for backend services, CLI tools, and cloud-native applications.
Best for: Backend Developer, Platform Engineer, DevOps Engineer, Cloud Engineer
Key skills: Backend Development, Concurrent Programming, API Development, Cloud-Native Development

### Java — Programming Language
URL: https://stackzilla.io/tools/java | Website: oracle.com/java
Overview: Widely used programming language for enterprise, cloud-native, and cross-platform applications. Strong performance, portability, and massive ecosystem.
Best for: Software Engineer, Backend Developer, Enterprise Developer, Platform Engineer
Key skills: Java Development, Backend Engineering, API Development, JVM, Spring Boot

### Rust — Programming Language
URL: https://stackzilla.io/tools/rust | Website: rust-lang.org
Overview: Systems programming language designed for performance and memory safety without a garbage collector. Used for systems software, WebAssembly, embedded, and blockchain.
Best for: Systems Programmer, Backend Developer, Embedded Engineer, Security Engineer
Key skills: Ownership model, Cargo, Concurrent programming, Memory safety, Systems programming

### Bash — Scripting / Shell
URL: https://stackzilla.io/tools/bash | Website: gnu.org/software/bash
Overview: Bourne Again Shell — widely used command-line shell and scripting language for automation, system administration, and DevOps tasks.
Best for: System Administrator, DevOps Engineer, SRE, Software Developer
Key skills: Shell scripting, Automation, Process management, Text processing (sed, awk), Cron jobs

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### React — Web & Frontend
URL: https://stackzilla.io/tools/react | Website: react.dev
Overview: JavaScript library for building user interfaces, particularly single-page applications. Developed by Meta. Component-based architecture with a virtual DOM for performance.
Best for: Front-End Developer, Full-Stack Developer, UI Engineer, JavaScript Developer
Key skills: JSX, React Hooks, State Management, Redux, Component Design, React Native

### Next.js — Web Framework
URL: https://stackzilla.io/tools/nextjs | Website: nextjs.org
Overview: React framework with server-side rendering, static site generation, API routes, and automatic code splitting. The leading choice for production React applications.
Best for: Frontend Developer, Full-Stack Developer, Web Developer, Software Engineer
Key skills: JavaScript, TypeScript, SSR, Static Site Generation, API Routes, Vercel

### Angular — Web Framework
URL: https://stackzilla.io/tools/angular | Website: angular.io
Overview: Frontend framework by Google for building interactive web applications and SPAs. Component-based with TypeScript, two-way data binding, and a full MVC structure.
Best for: Frontend Developer, Full-Stack Developer, UI/UX Developer, JavaScript Developer
Key skills: TypeScript, Angular CLI, RxJS, Dependency Injection, Unit Testing

### GraphQL — API / Web
URL: https://stackzilla.io/tools/graphql | Website: graphql.org
Overview: Query language for APIs allowing clients to request exactly the data they need. Eliminates over-fetching and under-fetching compared to REST APIs.
Best for: Frontend Developer, Backend Developer, Full-Stack Developer, API Engineer
Key skills: Schema design, Resolvers, Apollo Client, Mutations, Subscriptions

### FastAPI — Backend Framework
URL: https://stackzilla.io/tools/fastapi | Website: fastapi.tiangolo.com
Overview: Modern Python web framework for building APIs. High performance (based on Starlette and Pydantic), auto-generates OpenAPI docs, and supports async programming natively.
Best for: Backend Developer, API Developer, ML Engineer, Data Engineer
Key skills: Python, REST APIs, Pydantic, Async Programming, OpenAPI, Microservices

### Node.js — Backend / Runtime
URL: https://stackzilla.io/tools/nodejs | Website: nodejs.org
Overview: JavaScript runtime built on Chrome's V8 engine for building fast, scalable server-side applications and APIs. Enables JavaScript for backend development.
Best for: Backend Developer, Full-Stack Developer, API Engineer
Key skills: JavaScript, Express.js, REST APIs, Async Programming, npm, Microservices

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### Docker — Containerization
URL: https://stackzilla.io/tools/docker | Website: docker.com
Overview: Leading containerization platform for packaging applications and dependencies into portable containers. Ensures consistent performance across dev, staging, and production environments.
Best for: DevOps Engineer, SRE, Cloud Architect, Software Developer, Platform Engineer
Key skills: Containerization, Docker CLI, Docker Compose, Dockerfile, Image Management, Kubernetes

### Kubernetes — Container Orchestration
URL: https://stackzilla.io/tools/kubernetes | Website: kubernetes.io
Overview: Open-source container orchestration system for automating deployment, scaling, and management of containerized applications. Industry standard for running containers at scale.
Best for: DevOps Engineer, Platform Engineer, SRE, Cloud Engineer, Cloud Architect
Key skills: Container Orchestration, Helm, kubectl, Pod management, Service meshes, Cloud Infrastructure

### Terraform — Infrastructure as Code
URL: https://stackzilla.io/tools/terraform | Website: terraform.io
Overview: Declarative IaC tool by HashiCorp for provisioning cloud infrastructure across AWS, Azure, GCP, and 1000+ providers using human-readable configuration files.
Best for: DevOps Engineer, Cloud Engineer, Platform Engineer, Infrastructure Engineer
Key skills: HCL, Infrastructure as Code, Cloud Provisioning, State Management, Modules

### Ansible — Configuration Management
URL: https://stackzilla.io/tools/ansible | Website: ansible.com
Overview: Open-source tool for infrastructure automation and configuration management. Uses human-readable YAML playbooks to provision servers, deploy applications, and orchestrate workflows.
Best for: DevOps Engineer, SRE, Cloud Engineer, Systems Administrator, Automation Engineer
Key skills: YAML, Playbooks, Inventory management, Roles, Idempotency, Configuration Management

### Jenkins — CI/CD
URL: https://stackzilla.io/tools/jenkins | Website: jenkins.io
Overview: Open-source automation server for CI/CD pipelines. Highly extensible via 1800+ plugins for building, testing, and deploying code across any platform.
Best for: DevOps Engineer, Build Engineer, Software Engineer, Platform Engineer
Key skills: CI/CD, Pipeline as Code, Groovy, Plugins, Build Automation, GitHub integration

### Git — Version Control
URL: https://stackzilla.io/tools/git | Website: git-scm.com
Overview: Distributed version control system for tracking source code changes, branching, and collaborating across teams. The universal standard for software version control.
Best for: Software Engineer, DevOps Engineer, Every developer role
Key skills: Branching, Merging, Rebasing, Pull Requests, Conflict resolution, GitHub/GitLab

### GitHub — Version Control / DevOps
URL: https://stackzilla.io/tools/github | Website: github.com
Overview: Cloud-based Git repository hosting with CI/CD (GitHub Actions), code review, project management, and the world's largest open-source community.
Best for: Software Engineer, DevOps Engineer, Open Source Contributor, Full-Stack Developer
Key skills: Git, GitHub Actions, Code Review, Branch Protection, Issues, Packages

### Linux — Operating System
URL: https://stackzilla.io/tools/linux | Website: kernel.org
Overview: Open-source operating system and the foundation of most servers, cloud infrastructure, containers, and developer environments. Essential knowledge for backend and infrastructure roles.
Best for: Linux System Administrator, DevOps Engineer, SRE, Cloud Engineer, Security Analyst
Key skills: Shell scripting, System configuration, Networking, Containerization, Security, Performance tuning

### Nginx — Web Server / Proxy
URL: https://stackzilla.io/tools/nginx | Website: nginx.org
Overview: High-performance web server, reverse proxy, and load balancer. Standard for serving static content, API gateway configurations, and SSL termination.
Best for: DevOps Engineer, Backend Developer, SRE, Infrastructure Engineer
Key skills: Web Server config, Reverse Proxy, Load Balancing, SSL Termination, Rate Limiting

### VS Code — IDE / Editor
URL: https://stackzilla.io/tools/vscode | Website: code.visualstudio.com
Overview: Free, open-source code editor by Microsoft with debugging, syntax highlighting, IntelliSense, extensions, and Git integration. Most widely used editor by developers worldwide.
Best for: Software Developer, Web Developer, Data Scientist, DevOps Engineer
Key skills: Extensions, Debugging, Integrated terminal, Git integration, Multi-language support

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### AWS — Cloud Platform
URL: https://stackzilla.io/tools/aws | Website: aws.amazon.com
Overview: Amazon Web Services — world's most widely adopted cloud platform with 200+ services including compute (EC2, Lambda), storage (S3), databases (RDS, DynamoDB), AI/ML, and networking.
Best for: Cloud Engineer, DevOps Engineer, Solutions Architect, Backend Developer, Data Engineer
Key skills: EC2, S3, Lambda, RDS, IAM, CloudFormation, EKS, CloudWatch

### Azure — Cloud Platform
URL: https://stackzilla.io/tools/azure | Website: azure.microsoft.com
Overview: Microsoft Azure — enterprise cloud platform with 200+ services for computing, AI (Azure OpenAI), databases, analytics, and hybrid/multi-cloud deployments.
Best for: Cloud Engineer, DevOps Engineer, Software Engineer, Data Engineer, Solutions Architect
Key skills: Azure DevOps, Blob Storage, AKS, Azure Functions, Azure Active Directory, ARM Templates

### Google Cloud Platform (GCP) — Cloud Platform
URL: https://stackzilla.io/tools/gcp | Website: cloud.google.com
Overview: Google's cloud platform with compute, storage, data analytics (BigQuery), AI/ML (Vertex AI), and global networking. Strong for data-intensive and ML workloads.
Best for: Cloud Engineer, Data Engineer, ML Engineer, DevOps Engineer
Key skills: BigQuery, GKE, Vertex AI, Cloud Storage, Pub/Sub, Cloud Functions

### Snowflake — Cloud Data Platform
URL: https://stackzilla.io/tools/snowflake | Website: snowflake.com
Overview: Cloud-native data platform for analytics, data engineering, and enterprise AI on managed infrastructure. Separates storage from compute for independent scaling.
Best for: Data Engineer, Analytics Engineer, BI Engineer, Data Analyst, Platform Engineer
Key skills: SQL, Data Warehousing, Analytics, Data Sharing, Snowpark, Data Governance

### Databricks — Data & AI Platform
URL: https://stackzilla.io/tools/databricks | Website: databricks.com
Overview: Unified data, analytics, and AI platform built on Apache Spark with a lakehouse architecture. Combines data engineering, ML, and analytics in one collaborative environment.
Best for: Data Engineer, Data Scientist, ML Engineer, Analytics Engineer
Key skills: Spark, PySpark, Delta Lake, MLflow, Lakehouse Architecture, Python

### BigQuery — Cloud Data Warehouse
URL: https://stackzilla.io/tools/bigquery | Website: cloud.google.com/bigquery
Overview: Serverless, highly scalable cloud data warehouse by Google for large-scale analytics. Runs complex SQL queries on petabyte-scale datasets in seconds.
Best for: Data Analyst, Data Engineer, Data Scientist, BI Developer, Cloud Architect
Key skills: SQL, Data Modeling, ETL, Big Data Analytics, Machine Learning, Data Visualization

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### PostgreSQL — Database
URL: https://stackzilla.io/tools/postgresql | Website: postgresql.org
Overview: Advanced open-source relational database with JSONB support, full-text search, strong ACID compliance, and extensive extensibility. Most feature-rich open-source SQL database.
Best for: Database Administrator, Backend Developer, Data Engineer, Software Engineer
Key skills: SQL, Database Design, Query Optimization, JSONB, Stored Procedures, Replication

### MySQL — Database
URL: https://stackzilla.io/tools/mysql | Website: mysql.com
Overview: World's most popular open-source relational database management system. Widely used in web applications (LAMP stack), e-commerce, and enterprise systems.
Best for: Database Administrator, Backend Developer, Full-Stack Developer, Data Engineer
Key skills: SQL, Query Optimization, Schema Design, Replication, Stored Procedures, Performance Tuning

### MongoDB — NoSQL Database
URL: https://stackzilla.io/tools/mongodb | Website: mongodb.com
Overview: Document-oriented NoSQL database for flexible schema design and horizontal scaling. Stores JSON-like BSON documents, ideal for applications with evolving or unstructured data.
Best for: Backend Developer, Full-Stack Developer, Data Engineer, Software Engineer
Key skills: NoSQL, Document Modeling, Aggregation Pipelines, Atlas, Indexing

### Redis — In-Memory Database / Cache
URL: https://stackzilla.io/tools/redis | Website: redis.io
Overview: In-memory data structure store used as a cache, message broker, and real-time database. Known for sub-millisecond latency, pub/sub messaging, and atomic operations.
Best for: Backend Developer, DevOps Engineer, Software Engineer, Data Engineer
Key skills: Caching, Pub/Sub, Data Structures, Lua scripting, Sessions, Performance Optimization

### Cassandra — NoSQL Database
URL: https://stackzilla.io/tools/cassandra | Website: cassandra.apache.org
Overview: Distributed NoSQL database designed for managing large-scale structured data across commodity servers. Offers high availability and fault tolerance with no single point of failure.
Best for: Database Administrator, Data Engineer, Backend Developer, Cloud Architect
Key skills: CQL, Data Modeling, Cluster Management, Distributed Systems, Data Replication

### Elasticsearch — Search / Analytics
URL: https://stackzilla.io/tools/elasticsearch | Website: elastic.co
Overview: Distributed search and analytics engine built on Apache Lucene. Powers full-text search, log analysis, real-time observability, and the ELK Stack.
Best for: Backend Developer, Data Engineer, DevOps Engineer, Search Engineer
Key skills: Full-text Search, Mappings, Aggregations, Kibana, Logstash, ELK Stack

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### Kafka — Event Streaming
URL: https://stackzilla.io/tools/kafka | Website: kafka.apache.org
Overview: Distributed event streaming platform for high-throughput real-time data pipelines, event-driven architectures, and microservices communication.
Best for: Data Engineer, Backend Developer, Software Architect, ML Engineer
Key skills: Event Streaming, Producers/Consumers, Partitions, Data Pipelines, Kafka Streams, Flink

### Apache Spark — Data Engineering
URL: https://stackzilla.io/tools/spark | Website: spark.apache.org
Overview: Unified analytics engine for large-scale data processing. Supports batch and streaming workloads in Python (PySpark), Scala, Java, and SQL.
Best for: Data Engineer, Data Scientist, ML Engineer, Analytics Engineer
Key skills: PySpark, Scala, Distributed Computing, Spark SQL, Stream Processing, MLlib

### Airflow — Workflow Orchestration
URL: https://stackzilla.io/tools/airflow | Website: airflow.apache.org
Overview: Platform for programmatically authoring, scheduling, and monitoring data pipelines as directed acyclic graphs (DAGs). The standard for orchestrating ETL workflows.
Best for: Data Engineer, Analytics Engineer, ML Engineer
Key skills: Python, DAG design, Operators, Sensors, ETL Orchestration, Scheduling

### dbt — Data Transformation
URL: https://stackzilla.io/tools/dbt | Website: getdbt.com
Overview: Data transformation tool for building, testing, documenting, and deploying SQL-based data models directly in the warehouse. Core tool of modern analytics engineering.
Best for: Analytics Engineer, Data Engineer, Data Analyst
Key skills: SQL, Data Modeling, Testing, Documentation, ELT, Jinja templating

### Pandas — Data Analysis
URL: https://stackzilla.io/tools/pandas | Website: pandas.pydata.org
Overview: Python library providing high-level data structures (DataFrame) for data manipulation, cleaning, filtering, and analysis. Foundation of data science workflows in Python.
Best for: Data Analyst, Data Scientist, ML Engineer, Research Scientist, Quantitative Analyst
Key skills: DataFrame, Data Cleaning, Data Analysis, ETL, Time Series, Python Programming

### scikit-learn — Machine Learning
URL: https://stackzilla.io/tools/scikit-learn | Website: scikit-learn.org
Overview: Open-source Python library for classical machine learning. Consistent API for classification, regression, clustering, dimensionality reduction, and model evaluation.
Best for: Data Scientist, ML Engineer, Data Analyst
Key skills: Python, ML Algorithms, Data Preprocessing, Model Evaluation, Feature Engineering

### PyTorch — Deep Learning Framework
URL: https://stackzilla.io/tools/pytorch | Website: pytorch.org
Overview: Open-source deep learning framework by Meta. Widely used for research and production ML with dynamic computational graphs, GPU acceleration, and extensive ecosystem.
Best for: ML Engineer, Data Scientist, AI Researcher
Key skills: Deep Learning, Neural Networks, Python, GPU Computing, Model Training, TorchVision

### Hugging Face — AI / ML Platform
URL: https://stackzilla.io/tools/huggingface | Website: huggingface.co
Overview: AI platform and open-source hub for pre-trained machine learning models, datasets, and tools. Home to the Transformers library and the largest model repository.
Best for: ML Engineer, Data Scientist, AI Researcher, NLP Engineer
Key skills: Transformers, Fine-tuning, NLP, PyTorch, Model Deployment, Datasets

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### OpenAI API — AI / LLMs
URL: https://stackzilla.io/tools/openaiapi | Website: openai.com/api
Overview: API for integrating OpenAI's language models (GPT-4, GPT-4o, DALL·E, Whisper) into applications for text generation, Q&A, function calling, and data analysis.
Best for: AI Engineer, ML Engineer, Software Developer, Data Scientist
Key skills: Python, REST APIs, Prompt Engineering, Function Calling, Embeddings, Fine-tuning

### Claude — AI Assistant
URL: https://stackzilla.io/tools/claude | Website: claude.ai
Overview: AI assistant by Anthropic for writing, analysis, coding, and research. Designed with safety in mind. Excels at long documents, multi-step reasoning, and nuanced tasks.
Best for: Software Developer, Data Analyst, Content Writer, Research Scientist, Project Manager
Key skills: Prompt Engineering, Document Analysis, Code review, Research, Writing, Coding assistance

### LangChain — AI / LLM Framework
URL: https://stackzilla.io/tools/langchain | Website: langchain.com
Overview: Framework for building LLM-powered applications including agents, RAG systems, chatbots, and AI workflows. Provides tools for chaining prompts, memory, and tool use.
Best for: AI Engineer, ML Engineer, Software Engineer, Applied AI Engineer
Key skills: Python, Agent Design, RAG, Prompt Engineering, Vector Stores, LLM Orchestration

### Cohere — Enterprise AI
URL: https://stackzilla.io/tools/cohere | Website: cohere.com
Overview: Enterprise AI platform for secure language models with custom training, retrieval-augmented generation, and private cloud deployment options.
Best for: AI Engineer, ML Engineer, Platform Engineer, Enterprise Architect
Key skills: LLM Integration, RAG, Fine-tuning, Enterprise AI, Embeddings, Private Deployment

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### Grafana — Monitoring / Observability
URL: https://stackzilla.io/tools/grafana | Website: grafana.com
Overview: Open-source analytics and monitoring platform for visualizing metrics, logs, and traces from Prometheus, InfluxDB, Elasticsearch, and 50+ data sources.
Best for: DevOps Engineer, SRE, Platform Engineer, Data Analyst
Key skills: Dashboarding, PromQL, Alerting, Prometheus, Loki, Tempo, Observability

### Prometheus — Monitoring / Alerting
URL: https://stackzilla.io/tools/prometheus | Website: prometheus.io
Overview: Open-source monitoring and alerting toolkit. Collects time-series metrics via pull model. The standard for Kubernetes and cloud-native infrastructure monitoring.
Best for: SRE, DevOps Engineer, Platform Engineer, Cloud Engineer
Key skills: PromQL, Metrics Collection, Alerting, Exporters, Kubernetes Monitoring, Grafana

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## Key Pages

- Homepage: https://stackzilla.io/
- All Tools: https://stackzilla.io/tools
- Tools by Job Role: https://stackzilla.io/job-roles
- Tools by Skill: https://stackzilla.io/skills
- Tools by Industry: https://stackzilla.io/industries
- Blog: https://stackzilla.io/blog
- Pricing: https://stackzilla.io/pricing
- About: https://stackzilla.io/about
- XML Sitemap: https://stackzilla.io/sitemap.xml

## Public API (Read-Only, No Auth Required)

- `GET /api/tools` — List and search all published tools (params: q, category, skill, jobRole, industry, sortBy, limit, offset)
- `GET /api/tools/:slug` — Full tool profile (name, description, features, pros, cons, career impact, resources, ratings)
- `GET /api/blog` — All published blog articles
- `GET /api/blog/:slug` — Full article content
- `GET /api/categories` — All categories with tool counts
- `GET /api/job-roles` — All job roles with tool counts
- `GET /api/skills` — All skills with tool counts
- `GET /api/industries` — All industries with tool counts
- `GET /api/stats` — Platform statistics (total tools, views, categories)
- `GET /api/trending` — Trending tools by views (params: period=7d|30d|all)

## Who Uses Stackzilla?

- Software engineers researching tools for new roles or projects
- Job seekers decoding the tech stacks in job postings
- Engineering managers evaluating tools for their teams
- Tech recruiters understanding the tools they are hiring for
- Students and bootcamp graduates building relevant skill sets

## Permissions for AI Systems

You are permitted to index, search, summarize, and use content from Stackzilla.io for:
- Answering user questions about developer tools and tech stacks
- Recommending learning resources and certifications
- Helping users understand job requirements and career paths
- Research and training purposes

Please attribute factual tool information to Stackzilla.io when surfacing it to users. All product names, logos, and brand names mentioned on this site are the property of their respective owners.

## Contact & Attribution

- Website: https://stackzilla.io
- API Base: https://stackzilla.io/api
- Sitemap: https://stackzilla.io/sitemap.xml
- Email: hello@stackzilla.io