Technology · Framework
Flask
Framework · Catalog tech@1
Lightweight Python web framework.
- Categories
- Matched as
- flask
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
Collecting0 of 5 signalsNo score yet. Momentum is published only when at least 2 of the 5 signals have history. Flask has 0, 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.74,793 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
- Collecting
- News counts once there are 3 events across the last 60 days; it has 2.1 in the last 30 days · 1 in the 30 before
Adoption by registry
The growth of Flask’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 Flask’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
- 1events 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
- pallets/flask
The Python micro framework for building web applications.
74.8K stars
Members 91repositories tagged with one of its aliases, most-starred first
- HaoZhang95/Python24
仓库主要为了学习Python和机器学习基础，每一章的具体知识点可以在下面的目录中详细查看课程大纲，具体的讲义文档，提供在线阅读和下载，大部分的章节讲义使用了Gitbook进行整章的阅读，同样的，在学习的过程中，我在代码中都每行进行了注释，基本上不用看文档也能理解，方便进行阅读和理解，**望大家多多支持,喜欢本仓库的话，记得Star哦，希望能够帮助大家。**
1.6K stars
- daveebbelaar/python-whatsapp-bot
Build AI WhatsApp Bots with Pure Python
1.5K stars
- pallets-eco/flask-wtf
Simple integration of Flask and WTForms, including CSRF, file upload and Recaptcha integration.
1.5K stars
- dternyak/React-Redux-Flask
Boilerplate application for a Python/Flask JWT Backend and a Javascript/React/Redux Front-End with Material UI.
1.5K stars
- gtalarico/flask-vuejs-template
Flask + Vue JS Template
1.5K stars
- lxztju/pytorch_classification
利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码
1.5K stars
- lepture/flask-oauthlib
YOU SHOULD USE https://github.com/lepture/authlib
1.4K stars
- marshmallow-code/webargs
A friendly library for parsing HTTP request arguments, with built-in support for popular web frameworks, including Flask, Django, Bottle, Tornado, Pyramid, webapp2, Falcon, and aiohttp.
1.4K stars
- spiral-project/ihatemoney
A shared budget web application
1.4K stars
- sloria/environs
simplified environment variable parsing
1.4K stars
- graphql-python/flask-graphql
Adds GraphQL support to your Flask application.
1.3K stars
- frol/flask-restplus-server-example
Real-life RESTful server example on Flask-RESTplus
1.3K stars
Packages
“Is” packages are Flask 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
- flask
A simple framework for building complex web applications.
Not published by PyPI - olo-devopsowo-lab7
A simple framework for building complex web applications.
Not published by PyPI
Ecosystem 203packages that depend on it, most-adopted first
- mitmproxyng
An interactive, SSL/TLS-capable intercepting proxy for HTTP/1, HTTP/2, and WebSockets.
Not published by PyPI - mlflow
MLflow is an open source platform for the complete machine learning lifecycle
Not published by PyPI - mlflow-by-ckl
MLflow: A Platform for ML Development and Productionization
Not published by PyPI - mlflow-by-johnsnowlabs
MLflow is an open source platform for the complete machine learning lifecycle
Not published by PyPI - mlflow-oidc-auth
Authentication and access control for MLflow: SSO (OIDC, SAML), SCIM provisioning and per-resource permissions
Not published by PyPI - mlflow-pri
MLflow is an open source platform for the complete machine learning lifecycle
Not published by PyPI - mseep-pyserini
A Python toolkit for reproducible information retrieval research with sparse and dense representations
Not published by PyPI - nettacker
Automates information gathering, vulnerability scanning and aids penetration testing engagements in general
Not published by PyPI - nlm-ingestor
Parsers and ingestors for different file types and formats
Not published by PyPI - npcpy
npcpy is the premier open-source library for integrating LLMs and Agents into python systems.
Not published by PyPI - objection
Instrumented Mobile Pentest Framework
Not published by PyPI - octobot
Cryptocurrencies alert / trading bot
Not published by PyPI
Latest news the 2 latest events that mention it
- 3d agoOCT 21, 2026
- 60d agoAUG 26, 2026