Development
Browse 22 tools in the development category
Free cloud-based Jupyter notebook environment for Python and machine learning
★ 4.7 · Freemium
Showing 22 tools
Amazon Bedrock
Fully managed service for foundation models and generative AI applications
Anthropic Workbench
Advanced platform for developing and testing AI prompts and applications
ArtCraft
Open source creative suite of 7 native Rust apps for image, vector, video, photo, PDF, motion graphics and layout
Cohere
Enterprise AI platform for natural language processing and generation
DeepSeek
Chinese AI company providing open-source and commercial LLM models
Geekflare
Web scraping, search and screenshot APIs for AI agents, with one credit pool across 13 endpoints and an MCP server
Google Colab
Free cloud-based Jupyter notebook environment for Python and machine learning
Groq
Ultra-fast AI inference platform with blazing speed LLM API
Jev (TypeSafe AI)
System One model that returns typed decisions with calibrated probabilities instead of text
LangChain
Framework for developing applications with large language models
LangFuse
Open-source observability and analytics platform for LLM applications
LangSmith
Platform for debugging, testing, and monitoring LangChain applications
Llama
Meta's open-source large language model family
LlamaIndex
Data framework for building LLM applications with custom data sources
Mistral
French AI company providing open-source and commercial LLM models
Ollama
Run large language models locally with ease using a simple command-line tool
NVIDIA PAIR
NVIDIA's free, open-source Personal AI Router that pools networked PCs to run local AI models on your own hardware.
Qwen
Alibaba's open-source large language model series with multilingual capabilities
Replicate
Cloud platform for running and deploying AI models with simple API access
Semantic Kernel
Microsoft's open-source SDK for integrating AI services into applications
PydanticAI
Python framework for building production-ready AI agents with type safety
Together AI
Cloud platform for running and fine-tuning open-source AI models at scale