Technology · Framework
FastAPI
Framework · Catalog tech@1
Python API framework built on type hints.
- Categories
- Matched as
- fastapi
Momentum
Each signal is ranked as a percentile among the technologies that have it. A signal without enough history is not counted, and never shown as zero. How momentum works
Momentum
Collecting1 of 5 signalsNo score yet. Momentum is published only when at least 2 of the 5 signals have history. FastAPI has 1, so there is no single number: each signal is shown on its own below. It is not a zero, and nothing is estimated in its place.
Snapshot OCT 24, 2026 · Scoring tech@1
- Official repository stars
- Collecting
- Star growth needs repository snapshots 30 days apart.102,763 stars now
- Member repository stars
- Collecting
- Star growth needs repository snapshots 30 days apart.0 new members in 30 days
- Package adoption
- Not published by its registries
- Its packages’ registries publish no adoption figure, so there is nothing to grow.
- Open models
- No official models
- No official model on Hugging Face, so this signal does not apply.
- News
- 1 vs 2
- 45th percentile among technologies with this signal1 in the last 30 days · 2 in the 30 before
Adoption by registry
The growth of FastAPI’s own packages, one row per registry in that registry’s own unit. Registries count different things over different windows, so they are never added together.
No registry has two observations of FastAPI’s own packages about 30 days apart yet, so there is no growth to show. Nothing is estimated in its place.
News activity
- Events · 7 days
- 1published events that mention it
- Events · 30 days
- 1published events that mention it
- Previous 30 days
- 2events in the 30 days before
Momentum history
Momentum history starts OCT 8, 2026. A chart appears once two daily snapshots carry a score; none does so far.
Repositories
Official 1
- fastapi/fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
102.8K stars
Members 122repositories tagged with one of its aliases, most-starred first
- headroomlabs-ai/headroom
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
74.3K stars
- fastapi/full-stack-fastapi-template
Full-stack web application template with FastAPI, React, SQLModel, PostgreSQL, Vite, Tailwind CSS, shadcn/ui, FastAPI Cloud, and Docker Compose.
45.8K stars
- jina-ai/serve
☁️ Build multimodal AI applications with cloud-native stack
21.9K stars
- Zeyi-Lin/HivisionIDPhotos
⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。
21.6K stars
- Evil0ctal/Douyin_TikTok_Download_API
🚀 抖音、TikTok 数据采集与无水印视频下载 API,自托管,支持 MCP 调用与 Docker 一键部署。| Self-hosted TikTok & Douyin scraper and no-watermark video downloader — async REST API, MCP server, CLI and web console for posts, profiles, comments and playlists. Self-healing identity pool, PostgreSQL archive, one docker compose up.
20.4K stars
- fastapi/sqlmodel
SQL databases in Python, designed for simplicity, compatibility, and robustness.
18.4K stars
- zhanymkanov/fastapi-best-practices
FastAPI Best Practices and Conventions we used at our startup
18.1K stars
- JoeanAmier/XHS-Downloader
小红书(XiaoHongShu、RedNote)链接提取/作品采集工具
12.9K stars
- tadata-org/fastapi_mcp
Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!
12K stars
- coleifer/peewee
a small, expressive orm -- supports postgresql, mysql, sqlite, now with asyncio
12K stars
- QuentinFuxa/WhisperLiveKit
Real-time, local speech-to-text with streaming ASR, speaker diarization, translation, and OpenAI/Deepgram-compatible APIs.
11.1K stars
- polarsource/polar
Polar — A billing platform for the intelligence era
10.3K stars
Packages
“Is” packages are FastAPI itself; ecosystem packages depend on them. The two are counted separately and never added together. Adoption is each registry’s own figure, with its percentile within that registry.
Is 2the technology itself, most-adopted first
- fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Not published by PyPI - fastapi-slim
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Not published by PyPI
Ecosystem 397packages that depend on it, most-adopted first
- hindsight-api-slim
Hindsight: Agent Memory That Learns
Not published by PyPI - hk-fastapi-mcp
Automatic MCP server generator for FastAPI applications - converts FastAPI endpoints to MCP tools for LLM integration
Not published by PyPI - huixiangdou
Overcoming Group Chat Scenarios with LLM-based Technical Assistance
Not published by PyPI - ifeedback-mcp
Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual interface support (Web UI and Desktop Application) with intelligent environment detection and cross-platform compatibility.
Not published by PyPI - iflow-mcp-coplaydev-mcpforunityserver
MCP for Unity Server: A Unity package for Unity Editor integration via the Model Context Protocol (MCP).
Not published by PyPI - iflow-mcp-icip-cas-pptagent
PPTAgent, a tool for utilizing LLMs to generate PowerPoint presentations from documents.
Not published by PyPI - iflow-mcp-klavis-ai-youtube
YouTube MCP Server - A Model Context Protocol server for YouTube integration
Not published by PyPI - iflow-mcp-mcp-feedback-enhanced
Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual interface support (Web UI and Desktop Application) with intelligent environment detection and cross-platform compatibility.
Not published by PyPI - iflow-mcp-memoryos
Intelligence Begins with Memory
Not published by PyPI - iflow-mcp-workspace-mcp
Comprehensive, highly performant Google Workspace Streamable HTTP & SSE MCP Server for Calendar, Gmail, Docs, Sheets, Slides & Drive
Not published by PyPI - imcui
Image Matching Webui: A tool for matching images using sota algorithms with a Gradio UI
Not published by PyPI - inference
With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.
Not published by PyPI
Latest news the 3 latest events that mention it
- 3d agoOCT 21, 2026
- 44d agoSEP 10, 2026
- 60d agoAUG 26, 2026