Skill-Verzeichnis
Jede Empfehlung bleibt mit ihrem Repository, Audit und Installationspfad nachvollziehbar.
Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more. Demo (login with guest/welcome) - http://flaskappbuilder.pythonanywhere.com/
Python Client for Supabase. Query Postgres from Flask, Django, FastAPI. Python user authentication, security policies, edge functions, file storage, and realtime data streaming. Good first issue.
AI Agent Development Platform - Supports multiple models (OpenAI/DeepSeek/Wenxin/Tongyi), knowledge base management, workflow automation, and enterprise-grade security. Built with Flask + Vue3 + LangChain, featuring one-click Docker deployment.
Flask-Mail adds SMTP mail sending to your Flask applications
Projects and e-book for our course, REST APIs with Flask and Python
Binance and Deribit BTC cross-exchange arbitrage bot with Redis state recovery, Telegram alerts, and a Flask monitoring dashboard.
An automated price tracker that uses bright data, playwright, react and flask.
Simple Python & Flask web-calendar
🏥 AI-powered healthcare web app | Symptom detection · Nearest doctor search · Blockchain medical records · X-Ray diagnosis · Face ID auth | Built with React, Node.js, Python, Flask, MongoDB & Ethereum smart contracts | MERN Stack · Machine Learning
Codex skill: directly write a dedicated editable cover into Jianying Pro 5.9 drafts without changing the main timeline.
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
📊📉 Embed Plotly Dash into your Flask applications.
Skill-Verzeichnis
Jede Empfehlung bleibt mit ihrem Repository, Audit und Installationspfad nachvollziehbar.
Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more. Demo (login with guest/welcome) - http://flaskappbuilder.pythonanywhere.com/
Python Client for Supabase. Query Postgres from Flask, Django, FastAPI. Python user authentication, security policies, edge functions, file storage, and realtime data streaming. Good first issue.
AI Agent Development Platform - Supports multiple models (OpenAI/DeepSeek/Wenxin/Tongyi), knowledge base management, workflow automation, and enterprise-grade security. Built with Flask + Vue3 + LangChain, featuring one-click Docker deployment.
Flask-Mail adds SMTP mail sending to your Flask applications
Projects and e-book for our course, REST APIs with Flask and Python
Binance and Deribit BTC cross-exchange arbitrage bot with Redis state recovery, Telegram alerts, and a Flask monitoring dashboard.
An automated price tracker that uses bright data, playwright, react and flask.
Simple Python & Flask web-calendar
🏥 AI-powered healthcare web app | Symptom detection · Nearest doctor search · Blockchain medical records · X-Ray diagnosis · Face ID auth | Built with React, Node.js, Python, Flask, MongoDB & Ethereum smart contracts | MERN Stack · Machine Learning
Codex skill: directly write a dedicated editable cover into Jianying Pro 5.9 drafts without changing the main timeline.
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
📊📉 Embed Plotly Dash into your Flask applications.
Skill-Verzeichnis
Jede Empfehlung bleibt mit ihrem Repository, Audit und Installationspfad nachvollziehbar.
Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more. Demo (login with guest/welcome) - http://flaskappbuilder.pythonanywhere.com/
Python Client for Supabase. Query Postgres from Flask, Django, FastAPI. Python user authentication, security policies, edge functions, file storage, and realtime data streaming. Good first issue.
AI Agent Development Platform - Supports multiple models (OpenAI/DeepSeek/Wenxin/Tongyi), knowledge base management, workflow automation, and enterprise-grade security. Built with Flask + Vue3 + LangChain, featuring one-click Docker deployment.
Flask-Mail adds SMTP mail sending to your Flask applications
Projects and e-book for our course, REST APIs with Flask and Python
Binance and Deribit BTC cross-exchange arbitrage bot with Redis state recovery, Telegram alerts, and a Flask monitoring dashboard.
An automated price tracker that uses bright data, playwright, react and flask.
Simple Python & Flask web-calendar
🏥 AI-powered healthcare web app | Symptom detection · Nearest doctor search · Blockchain medical records · X-Ray diagnosis · Face ID auth | Built with React, Node.js, Python, Flask, MongoDB & Ethereum smart contracts | MERN Stack · Machine Learning
Codex skill: directly write a dedicated editable cover into Jianying Pro 5.9 drafts without changing the main timeline.
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
📊📉 Embed Plotly Dash into your Flask applications.
Skill-Verzeichnis
Jede Empfehlung bleibt mit ihrem Repository, Audit und Installationspfad nachvollziehbar.
Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more. Demo (login with guest/welcome) - http://flaskappbuilder.pythonanywhere.com/
Python Client for Supabase. Query Postgres from Flask, Django, FastAPI. Python user authentication, security policies, edge functions, file storage, and realtime data streaming. Good first issue.
AI Agent Development Platform - Supports multiple models (OpenAI/DeepSeek/Wenxin/Tongyi), knowledge base management, workflow automation, and enterprise-grade security. Built with Flask + Vue3 + LangChain, featuring one-click Docker deployment.
Flask-Mail adds SMTP mail sending to your Flask applications
Projects and e-book for our course, REST APIs with Flask and Python
Binance and Deribit BTC cross-exchange arbitrage bot with Redis state recovery, Telegram alerts, and a Flask monitoring dashboard.
An automated price tracker that uses bright data, playwright, react and flask.
Simple Python & Flask web-calendar
🏥 AI-powered healthcare web app | Symptom detection · Nearest doctor search · Blockchain medical records · X-Ray diagnosis · Face ID auth | Built with React, Node.js, Python, Flask, MongoDB & Ethereum smart contracts | MERN Stack · Machine Learning
Codex skill: directly write a dedicated editable cover into Jianying Pro 5.9 drafts without changing the main timeline.
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
📊📉 Embed Plotly Dash into your Flask applications.