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
- sabuhish/fastapi-mail
Fastapi mail system sending mails(individual, bulk) attachments(individual, bulk)
1K stars
- madeofpendletonwool/PinePods
Pinepods is a complete podcast management system that allows you to play, download, and keep track of podcasts you enjoy. All self hosted and enjoyed on your own server!
1K 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
- lsglang
SGLang is a fast serving framework for large language models and vision language models.
Not published by PyPI - magentic-ui
A research prototype of a human-centered interface powered by a multi-agent system
Not published by PyPI - matrx-ai
Unified multi-provider AI client, orchestration, and tool system
Not published by PyPI - mcp-ai-forever
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 - mcp-contextforge-gateway
ContextForge AI Gateway — an AI gateway, registry, and proxy for MCP, A2A, and REST/gRPC APIs. Exposes a unified control plane with centralized governance, discovery, and observability. Optimizes agent and tool calling, and supports plugins.
Not published by PyPI - mcp-feedback
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 - mcp-feedback-enhanced
MCP server for interactive user feedback 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 - mcp-feedback-enhanced-fixed
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 - mcp-feedback-enhanced-lixd
Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual UI support (Qt GUI and Web UI) with intelligent environment detection.
Not published by PyPI - mcp-feedback-enhanced-tuning-mbpr
Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual UI support (Qt GUI and Web UI) with intelligent environment detection and AI conversation end detection.
Not published by PyPI - mcp-memory-service
Semantic memory layer for AI applications. REST API + MCP transport + knowledge graph + autonomous consolidation. Works with 14+ AI clients. Self-host, zero cloud cost.
Not published by PyPI - mcp-memory-service-lite
Lightweight semantic memory service with ONNX embeddings - no PyTorch required. 80% smaller install size. REST API + MCP transport.
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