Explore / Tools
1,322 Developer Tools (2026)
Explore the developer tool catalog, from coding assistants and editors to terminals, data tools, and deployment platforms. Use search and filters to narrow the list, then open a tool to examine its capabilities, pricing information, and available editorial coverage in context.
1322 tools indexed
showing 48 of 1322 tools
Kubernetes-native cloud infrastructure control plane
Crossplane is a CNCF Graduated open-source project that extends Kubernetes to manage cloud infrastructure through declarative APIs. Platform teams compose custom infrastructure abstractions as Compositions and publish them as self-service APIs. It provisions resources across AWS, Azure, GCP, and 200+ providers directly from kubectl. Used by 450+ organizations with 11,000+ GitHub stars.
End-to-end encrypted collaboration suite
CryptPad is an open-source end-to-end encrypted collaboration suite that provides real-time document editing, spreadsheets, presentations, kanban boards, whiteboards, and forms without the server ever accessing user content. Built as a privacy-first alternative to Google Workspace, CryptPad encrypts all data client-side so neither administrators nor attackers can read stored documents. It supports team drives, access control, and self-hosting.
Parallel test orchestration for Playwright and Cypress
Currents is a test orchestration platform that parallelizes Playwright and Cypress test suites across multiple CI machines for faster feedback. It provides intelligent test splitting, re-run strategies for flaky tests, detailed analytics dashboards, and native Playwright chunking. Achieves up to 50% test suite speed improvements through optimized distribution and parallel execution management.
Credit-based AI coding subscriptions for Cursor IDE
Cursor Plans refers to the tiered pricing and subscription structure of the Cursor AI code editor, ranging from the free Hobby plan to premium Ultra tier. The plan chosen directly impacts the amount of AI assistance available, the models accessible (Claude, GPT-4, cursor-small), and the team management features included. Updated pricing and limits for individuals, Pro users, and Business accounts.
Community cursor rules directory
Community-maintained collection of .cursorrules files that customize Cursor IDE's AI behavior for specific frameworks, languages, and project types. Define coding conventions, preferred libraries, architectural patterns, and style guidelines that the AI follows consistently. Popular rules exist for Next.js, React, Python, TypeScript, Tailwind, and more. Hosted on cursor.directory with 1-click installation. Essential for getting consistent, project-aware AI completions in Cursor.
OpenAI's custom chatbot builder and GPT Store
Create personalized GPT assistants with custom instructions, knowledge files, and tool integrations including browsing, DALL-E, and code interpreter. Publish to the GPT Store or keep private with no coding required. Enables anyone to build specialized AI assistants for specific domains, workflows, or audiences using OpenAI's consumer-friendly builder interface.
Agentic application security from prompt to cloud
Cycode is an AI-native application security platform that converges AST, SSCS, and ASPM into a single solution with the Maestro AI orchestrator managing multi-agent security workflows. It provides native SAST, SCA, secrets detection, IaC scanning, and container security alongside ConnectorX integration with 100+ third-party tools. Cycode's AI Exploitability Agent reduces false positives by 94%, and the Context Intelligence Graph maps risk across code, pipelines, and runtime environments.
Universal database tool
DBeaver is a free, open-source universal database GUI and SQL client supporting 100+ engines including PostgreSQL, MySQL, Oracle, SQL Server, SQLite, MongoDB, Cassandra, and Redis. Offers a consistent cross-platform interface for schema browsing, visual query building, SQL execution, data editing, ER diagrams, and data migration between heterogeneous databases, all in a single Java-based desktop app.
Programming — not prompting — LLMs
Declarative framework from Stanford University for programming language models rather than prompting them. DSPy treats LLM interactions as programmable modules with input-output signatures and uses optimization algorithms to automatically compile these modules into effective prompts or fine-tuned weights, replacing brittle prompt strings with structured, modular AI software.
3D reconstruction without camera parameters
DUSt3R is Naver's breakthrough 3D reconstruction method that generates dense 3D scenes from unconstrained image pairs without known camera intrinsics or extrinsics. It casts pairwise reconstruction as pointmap regression, removing hard geometric constraints of projective camera models. Supports multi-view alignment, depth estimation, visual localization, and extends to MASt3R and MUSt3R for large-scale applications.
Git-based version control for ML data and pipelines
DVC (Data Version Control) is a free open-source tool that brings Git-like version control to datasets, ML models, and experiment pipelines. It stores pointer files in Git while keeping large data in remote storage like S3, GCS, or Azure. Features include reproducible ML pipelines with DAG-based dependency tracking, experiment management, metrics comparison, and a VS Code extension for visual experiment tracking.
High-performance data engine for multimodal AI workloads
Daft is a high-performance distributed data engine designed specifically for AI and multimodal workloads. It processes structured data alongside images, audio, video, and embeddings natively, outperforming Spark and Polars on AI-specific data pipelines. Built in Rust with a Python API, Daft handles the data engineering challenges unique to machine learning workflows.
Programmable CI/CD engine that runs your pipelines in containers
Programmable CI/CD engine that replaces shell scripts and YAML with a typed API across 8 languages (Go, Python, TypeScript, Java, Rust, etc.). Dagger runs every pipeline step in containers for portable, locally-debuggable, cacheable builds that work identically on any CI platform. Includes GraphQL query optimization for parallelization, OpenTelemetry observability, and Dagger Cloud for managed compute.
Containerized sandboxes for AI coding agents
Dagger Container Use provides isolated container environments for AI coding agents, enabling multiple agents to work in separate sandboxed branches simultaneously. Built by the Dagger team, it ensures reproducibility and safety for autonomous code execution by giving each agent its own containerized workspace with full toolchain access.
Single-binary workflow engine with zero dependencies
Dagu is a local-first, self-contained workflow engine that runs as a single binary under 128MB of memory with no database, message broker, or runtime dependencies. Workflows are defined in declarative YAML and can orchestrate shell commands, Docker containers, SSH sessions, HTTP calls, and SQL queries. It includes a built-in Web UI with DAG visualization and Gantt charts, plus an AI agent that creates and debugs workflows from natural language via Slack or Telegram.
Open-source BI tool for data visualization
DataEase is an open-source business intelligence tool that enables anyone to perform data analysis and build visualizations through a drag-and-drop interface without coding. It connects to MySQL, PostgreSQL, Elasticsearch, ClickHouse, and other data sources, providing interactive dashboards that can be shared via links or embedded in applications. DataEase offers chart templates, calculated fields, and role-based access control for team collaboration.
JetBrains database IDE
JetBrains' professional database IDE with intelligent SQL assistance, schema navigation, data editor, and admin tools for PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, Redis, and more. Features context-aware completion, error detection, explain plan visualization, data export, and version control for schema changes. Part of JetBrains All Products pack or standalone. The premium choice for database development.
Open-source metadata platform for data discovery
DataHub is an open-source metadata platform for data discovery, governance, and observability, originally developed at LinkedIn. It provides a centralized catalog with 80+ integrations for data warehouses, lakes, dashboards, and ML platforms. DataHub offers real-time metadata ingestion, column-level lineage tracking, automated quality checks, and fine-grained access policies. Used by 3,000+ organizations in production. Apache 2.0 licensed with 11.8K+ GitHub stars.
Visual database designer with Git-integrated schemas
DbSchema is a visual database designer supporting 80+ SQL and NoSQL databases that features Git integration for schema version control, interactive HTML documentation generation, and AI-assisted query building. It provides the best visual approach to designing and maintaining database schemas in a version-controlled environment, bridging the gap between visual design and code-managed infrastructure.
Multi-database client with AI query optimization
DbVisualizer is a multi-database client with strong SQL editing, ER diagrams, and data management capabilities that has recently added AI assistants for query optimization. Consistently rated as a top-tier database GUI, it supports virtually every database engine and provides visual exploration, query profiling, and data comparison tools for developers and analysts working across diverse database environments.
LangChain-powered agent harness with planning and subagents
Deep Agents is a production-ready agent framework built on LangChain and LangGraph for complex agentic workflows. It features a planning system for task decomposition, a filesystem backend for persistent operations, sandboxed shell execution, and isolated subagents with independent context windows. Automatic context summarization keeps agents coherent across long sessions, while smart defaults simplify prompt engineering for multi-step autonomous tasks.
AI data runtime for multimodal datasets and vector search
Deep Lake is an open-source AI data runtime from Activeloop for storing, versioning, and querying multimodal data and embeddings. It fits teams building RAG, training, evaluation, or dataset-heavy agent workflows that need a bridge between vector search, structured metadata, and large image, text, audio, or video collections.
DeepSeek's expert-parallel communication library for MoE model training
DeepEP is DeepSeek's open-source communication library optimized for expert-parallel training of Mixture-of-Experts models. It provides efficient GPU-to-GPU data routing for distributing tokens to expert networks across multiple devices during MoE model training and inference. Enables the distributed expert parallelism that powers DeepSeek's competitive model efficiency. Over 9,100 GitHub stars.
DeepSeek's FP8 general matrix multiplication kernels for efficient inference
DeepGEMM is DeepSeek's open-source library of FP8 matrix multiplication CUDA kernels optimized for LLM inference and training on modern NVIDIA GPUs. It provides efficient GEMM operations using 8-bit floating point precision that reduce memory bandwidth requirements while maintaining model accuracy. Designed for integration into inference engines and training frameworks. Over 6,300 GitHub stars.
DeepSeek's open-source production inference framework for DeepSeek-V4.1-Flash
DeepInfer is DeepSeek's Apache-2.0 open-source release of the inference framework behind its large-scale production services. It runs offline inference for DeepSeek-V4.1-Flash with optimized kernels (FlashMLA, DeepGEMM, DeepEP), attention data parallelism and MoE expert parallelism, draft-token decoding, batch-invariant and deterministic sampling and structured outputs. It targets NVIDIA SM100 GPUs and Huawei Ascend 950 NPUs; KV-cache, disaggregation and load balancing are not included.
Cost-effective AI inference platform with 86+ models from $0.02/M tokens
DeepInfra is an AI inference platform offering 86+ LLM models with pricing starting at $0.02 per million tokens. Backed by $20.6M in funding including an $18M Series A from Felicis Ventures, it provides OpenAI-compatible endpoints for models including DeepSeek, Llama, and Mistral with pay-as-you-go pricing.
State-of-the-art open-source code language models
DeepSeek Coder is a family of open-source code language models trained from scratch on 2 trillion tokens of code and natural language data. Available in sizes from 1B to 33B parameters, these models support 80+ programming languages with 16K context windows and fill-in-the-blank capabilities. DeepSeek Coder outperforms CodeLlama-34B on HumanEval and MBPP benchmarks. Code is MIT-licensed; weights use the DeepSeek License Agreement, which allows commercial use with use restrictions.
Open-source, plugin-based agent harness from DeepSeek
DeepSeek Harness (dsh) is an open-source, MIT-licensed agent harness from DeepSeek with a web UI, desktop app, CLI and SDK, in developer preview. It is built on a plugin architecture and works with a DeepSeek API key or other compatible model providers. Session-log upload to the DeepSeek API is on by default in the master branch as of 30 Sep 2026 and can be turned off.
Deep learning optimization for distributed training
DeepSpeed is Microsoft's open-source deep learning optimization library that makes distributed training and inference easy, efficient, and effective. Its ZeRO optimizer eliminates memory redundancies across data-parallel processes, enabling training of models with trillions of parameters. DeepSpeed supports 3D parallelism combining data, pipeline, and tensor parallelism, along with mixed precision training, gradient checkpointing, and CPU/NVMe offloading for memory-constrained environments.
Open-source LLM red-teaming framework with 40+ attack types
DeepTeam is an open-source red-teaming framework for systematically testing LLM applications against 40+ adversarial attack types. It covers OWASP Top 10 for LLMs including jailbreaks, prompt injection, PII leakage, and hallucination attacks. Built as the sister project of DeepEval for security testing alongside evaluation. Apache-2.0 licensed.
Voice AI APIs for speech-to-text and text-to-speech
Deepgram is a voice AI infrastructure platform providing low-latency speech-to-text, text-to-speech, and conversational AI APIs. Its Nova-3 model delivers industry-leading accuracy for real-time transcription with streaming support, interruption handling, and multi-language capabilities. Used by 1,300+ organizations including Twilio and Vapi, Deepgram powers voice features in applications ranging from call centers to AI agent voice interfaces.
ByteDance's open-source agentic workflow platform
DeerFlow is ByteDance's open-source agentic workflow platform that combines LLM-powered agents with deep research capabilities. It features multi-agent orchestration, web research automation, report generation, and podcast creation from research outputs. Built with LangGraph, it supports configurable LLM backends and provides a modern React-based UI for managing complex AI-driven research and content workflows.
Local AI CRM and workflow automation on OpenClaw
DenchClaw is a local AI CRM and workflow automation app built on OpenClaw. It runs on a Mac at localhost, lets users chat with local business data, and focuses on lead enrichment, founder/customer research, and outreach automation. It belongs beside local AI, workflow automation, and OpenClaw-style personal-agent tools rather than pure coding IDEs.
Managed Docker build acceleration with up to 40x faster builds
Depot provides managed infrastructure for dramatically faster Docker image builds. It uses persistent build caches, native Intel and ARM builders, and optimized build scheduling to achieve up to 40x faster builds compared to standard Docker build workflows. Drop-in replacement for docker build that requires no Dockerfile changes. Used by major engineering teams to cut CI/CD pipeline times.
Drag-and-drop authentication flows with visual workflow builder
Descope is an authentication platform featuring a visual drag-and-drop flow builder for designing login and signup experiences. It supports passwordless authentication, social login, MFA, SAML SSO, and passkeys. Raised $53M Series A to build no-code identity workflows. SDKs for web, mobile, and backend with pre-built UI components that reduce auth implementation to minutes.
Swiss-army MCP server for local system automation
DesktopCommanderMCP is a general-purpose MCP server that gives AI agents the ability to execute local programs, read and write files, search the filesystem, and edit text files. It acts as a comprehensive local system actuator, enabling coding agents to interact with the development environment beyond just code editing.
Instant AI API documentation from code snippets
DevDocsAI is a fast-utility AI documentation generator where developers paste code snippets and receive structured API documentation in 30 seconds. It targets individual makers and small teams who need quick documentation for specific code segments without the overhead of setting up a full documentation platform, providing rapid turnaround for function and endpoint documentation.
Instant isolated dev environments powered by Nix
Devbox is an open-source command-line tool that creates instant, reproducible development environments using Nix packages without requiring you to learn Nix. Define your project dependencies in a simple devbox.json file and get isolated shells with access to over 400,000 package versions. It eliminates dependency conflicts between projects and ensures every team member works in an identical environment, with support for devcontainers, Docker, and cloud deployment.
Kubernetes dashboard with 360-degree visibility
Devtron is an open-source Kubernetes management dashboard that provides a 360-degree view of cluster resources with fine-grained RBAC for multi-cluster environments. Its upcoming agentic AI feature automates debugging and cluster optimization, while the current platform offers centralized visibility, GitOps-based deployment workflows, and security policy enforcement across distributed Kubernetes infrastructure.
Agent skill that draws editorial, on-brand diagrams as one HTML + SVG file
Open-source (MIT) agent skill by Cathryn Lavery that has coding agents draw architecture, sequence, quadrant and dozens of other diagram types as one self-contained HTML + SVG file, matched to your brand. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, Pi and other skills-compatible agents. Free, no server and no telemetry.
Open-source IaC orchestration that runs Terraform plans and applies from pull request comments
Digger is an open-source infrastructure-as-code orchestration tool for running Terraform and OpenTofu plan/apply workflows from pull request comments. It uses the team’s existing VCS and CI runners instead of adding a separate runner fleet, supports GitHub, GitLab, and Azure DevOps style workflows, and stores PR-level locks and plan cache in the user’s cloud account.
Cloud infrastructure for developers
Cloud infrastructure provider offering Droplets (VMs), managed Kubernetes, app platform PaaS, managed databases (PostgreSQL, MySQL, Redis, MongoDB), Spaces (object storage), serverless functions, and a CDN. Known for developer-friendly docs, simple pricing from $4/month, and a clean API/CLI. Popular with startups and indie devs as a simpler AWS alternative. 1-click marketplace apps and extensive community tutorials.
Simple cloud hosting for developers
Managed PaaS layer built on top of Kubernetes by DigitalOcean. Auto-deploy from GitHub and GitLab with support for Docker containers, static sites, and worker services. Integrates with DO managed databases and Spaces storage, offering a simpler and more affordable cloud platform for teams who want Heroku-like convenience without the enterprise price tag.
Get your documents ready for gen AI
Docling is an open-source document processing toolkit by IBM Research that converts complex documents into structured formats optimized for generative AI applications. It parses PDF, DOCX, PPTX, XLSX, HTML, images, audio, and LaTeX with advanced PDF understanding including layout analysis, reading order detection, and table structure recognition. Docling exports to Markdown, HTML, JSON, and DocTags, and integrates natively with LangChain, LlamaIndex, and other AI frameworks for RAG workflows.
Self-hosted collaborative wiki and documentation platform
Docmost is an open-source collaborative wiki offering real-time editing, spaces with granular permissions, page history, and rich diagram support via Draw.io, Excalidraw, and Mermaid. Designed as a self-hosted Confluence and Notion alternative for teams needing data sovereignty, it provides nested pages, comments, and full-text search. Over 19,700 GitHub stars and 52 releases demonstrate strong community adoption.
AI documentation generator from code repositories
DocuWriter.ai creates technical documentation from code repositories by scanning files, understanding patterns, and generating structured documentation including API references, function descriptions, and architectural overviews. It supports batch processing for entire repositories, serving as a zero-to-one documentation tool for undocumented codebases that need initial documentation coverage quickly.
Build optimized documentation sites
Meta's open-source documentation framework built on React with MDX support, versioning, internationalization, and search. Powers documentation sites for many open-source projects with 58k+ GitHub stars. The standard choice for open-source projects that need professional documentation with minimal setup, offering blog support and plugin extensibility alongside core docs features.
AI test writing with self-healing and visual editor
DogQ is a testing tool that writes, heals, and suggests tests automatically through a visual interface for managing the entire testing lifecycle. It provides a low-code alternative for teams without dedicated SDETs (Software Development Engineers in Test), automating test creation from user interactions and maintaining test health as the application evolves with AI-driven self-healing.