Search Results for "python flask" - Page 3
Sort By:
Showing 103 open source projects for "python flask"
View related business solutions-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
1
Customer Support Chat Bot
Customer support bot application that leverages the ChatterBot library
This repository hosts a customer support chatbot application that leverages the ChatterBot library for conversational AI and the Twilio API to engage with clients via messaging. The application is built on Flask, a lightweight WSGI web application framework in Python, making it easy to extend and integrate with web services. -
2
Flask-SQLAlchemy
Adds SQLAlchemy support to Flask
Flask-SQLAlchemy is an extension for Flask that adds support for SQLAlchemy to your application. It simplifies using SQLAlchemy with Flask by setting up common objects and patterns for using those objects, such as a session tied to each web request, models, and engines. Flask-SQLAlchemy does not change how SQLAlchemy works or is used. See the SQLAlchemy documentation to learn how to work with the ORM in depth. The documentation here will only cover setting up the extension, not how to use... -
3
Flaskr
Intro to Flask, Test-Driven Development (TDD), and JavaScript
Flaskr TDD is an educational Flask project that expands the classic Flaskr tutorial with test-driven development, JavaScript, and deployment practices. It uses a small blog-style application to introduce fundamental web-development concepts. Learners work with HTTP requests, responses, routing, templates, forms, and application behavior through Flask. The project emphasizes writing tests alongside implementation rather than adding them only after features are complete. JavaScript is... -
4
Flask RESTful Example
Flask backend development interface example, using Flask
Flask RESTful Example is a practical Python backend reference showing how to build production-style APIs with Flask. It covers application configuration, standardized responses, logging, database access, authentication, background tasks, and deployment. MySQL and Redis examples demonstrate relational storage and caching workflows. Authentication examples include JWT, mobile verification codes, and WeChat-based login scenarios. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
-
5
System Health Dashboard
Proof of Concept script for a dashboard that will ping sites
This repository houses a Flask-based web application designed to monitor and display the health status of various systems. It includes a set of Python scripts for checking system health, HTML templates for displaying the status, JavaScript for interactive elements, and a CSS file for styling. -
6
Web written in python with flask framework, using the disney api for this project, only deploy and register with any username and any password, this project not have a filters validation, visit the deployed page in christianymoon.pythonanywhere.com
-
7
TF2DeepFloorplan
TF2 Deep FloorPlan Recognition using a Multi-task Network
TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab. This repo contains a basic procedure to train and deploy the DNN model suggested by the paper 'Deep Floor Plan Recognition using a Multi-task Network with Room-boundary-Guided Attention'. It rewrites the original codes from zlzeng/DeepFloorplan into newer versions of Tensorflow and Python. -
8
Nhom10_NhanDienKhuonMat_
Face Recognition web app built on Python using Flask.
Face Recognition web app built on Python using Flask. Students' final project. -
9
Riffusion
Real-time music generation using stable diffusion techniques AI
...It includes both developer-oriented tools and user-facing components such as a command-line interface and an interactive Streamlit application for experimentation. Additionally, it can run as a Flask server to expose model inference through an API, enabling integration with other applications or services. -
Veeam Data Platform v13.1 - Get Your Free TrialTry Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
-
10
Wooey
A Django app that creates automatic web UIs for Python scripts
Wooey is a simple web interface to run command line Python scripts. Think of it as an easy way to get your scripts up on the web for routine data analysis, file processing, or anything else. The project was inspired by how simply and powerfully sandman could expose users to a database and by how Gooey turns ArgumentParser-based command-line scripts into WxWidgets GUIs. Originally two separate projects (Django-based djangui by Chris Mitchell and Flask-based Wooey by Martin Fitzpatrick) it has been merged to combine our efforts. ... -
11
codecat
static code analysis, to find/track sinks and bugs
CodeCat is a open source tool to help you in static code analysis, to find/track sinks and bugs, this points follow regex rules... -
12
SMSBoom
SMS bombing / SMS pressure measurement, a robust and free python
SMS bombing / SMS pressure measurement / | A robust and free python SMS bombing program, specializing in blowing up bad guys, with millions of interfaces, multi-threaded automatic addition of effective interfaces, support for millions of concurrent asynchronous coroutines, a completely free SMS bombing too! Hongkonger develops the whole network for the first time! api.jsonDefine the interface in a custom way. -
13
Arxiv Sanity Lite
arxiv-sanity lite: tag arxiv papers of interest get recommendations
Arxiv Sanity Lite is a lightweight rewrite of Karpathy’s original arXiv discovery tool for tracking machine-learning research. It periodically polls the arXiv API for new papers and stores them locally for browsing. Users can tag papers they find relevant and receive recommendations tailored to each tag. Recommendations are generated with support vector machines trained on TF-IDF features extracted from paper abstracts. The web interface supports searching, ranking, sorting, and filtering... -
14
python-tutorial
Practical Python tutorials, including Python basics
python-tutorial is a practical Python learning repository that collects examples for everyday programming tasks. It covers Python fundamentals, advanced language features, object-oriented programming, multithreading, databases, data science, Flask development, web crawling, and utility scripting. The project is intended for beginners learning Python and for working developers who want reference implementations for common scripts. -
15
Arxiv Sanity Preserver
Web interface for browsing, search and filtering arxiv submissions
...Users can search papers, find work similar to a selected paper, browse popular submissions, and maintain a personal library. Personalized recommendations are generated through models trained from user preferences. The web interface uses Flask, Tornado, and SQLite, while the indexing pipeline relies on scientific Python libraries. A newer rewrite called arxiv-sanity-lite later became the recommended successor. -
16
restless
A lightweight REST miniframework for Python
A lightweight REST mini framework for Python. Works great with Django, Flask, Pyramid & Tornado, but should be useful for many other Python web frameworks. Based on the lessons learned from Tastypie & other REST libraries. Restless tries to be RESTful by default, but flexible enough. The main Resource class has data methods (that you implement) for all the main RESTful actions. -
17
Flask-MongoEngine
MongoEngine flask extension with WTF model forms support
Flask-MongoEngine is a Flask extension that provides integration with MongoEngine, WtfForms and FlaskDebugToolbar. By default, Flask-MongoEngine will install integration only between Flask and MongoEngine. Integration with WTFForms and FlaskDebugToolbar are optional and should be selected as extra option, if required. This is done by users request, to limit amount of external dependencies in different production setup environments. All methods end extras described below are compatible... -
18
BudgetML
Deploy a ML inference service on a budget in 10 lines of code
Deploy a ML inference service on a budget in less than 10 lines of code. BudgetML is perfect for practitioners who would like to quickly deploy their models to an endpoint, but not waste a lot of time, money, and effort trying to figure out how to do this end-to-end. We built BudgetML because it's hard to find a simple way to get a model in production fast and cheaply. Deploying from scratch involves learning too many different concepts like SSL certificate generation, Docker, REST,... -
19
Text2Video
Software tool that converts text to video for more engaging experience
...I plan to further work on the project targeting young college students who are aged between 18 to 23 because they tend to prefer learning through videos over books based on the survey I found. The technologies I used for the project are HTML, CSS, Javascript, Node.js, CCapture.js, ffmpegserver.js, Amazon Polly, Python, Flask, gevent, spaCy, and Pixabay API. -
20
commit-autosuggestions
A tool that AI automatically recommends commit messages
This is implementation of CommitBERT: Commit Message Generation Using Pre-Trained Programming Language Model. CommitBERT is accepted in ACL workshop : NLP4Prog. Have you ever hesitated to write a commit message? Now get a commit message from Artificial Intelligence! CodeBERT: A Pre-Trained Model for Programming and Natural Languages introduces a pre-trained model in a combination of Program Language and Natural Language(PL-NL). It also introduces the problem of converting code into natural... -
21
Flasgger
Easy OpenAPI specs and Swagger UI for your Flask API
Flasgger is a Flask extension to extract OpenAPI-Specification from all Flask views registered in your API. Flasgger also comes with SwaggerUI embedded so you can access it and visualize and interact with your API resources. Flasgger also provides validation of the incoming data, using the same specification it can validate if the data received as a POST, PUT, PATCH is valid against the schema defined using YAML, Python dictionaries or Marshmallow Schemas. -
22
Pytholog
A logic programming tool and a logical database with a RESTful API
Pytholog Tool (Command line & API) An executable tool, built in python, that enables logic programming and prolog syntax through interactive shell that mimics prolog language and / or RESTful API that can be called from other applications. The tool is based on the python library pytholog which can be found here: https://github.com/mnoorfawi/pytholog The tool starts normally from the command line. -
23
Free Queue Manager
Web based python-flask Queue management system
A web based management system developed for the purpose of easing the process of orgnizing queues and lines. Like many other (QMS)s Queue Management Systems, FQM does provide a basic dashboard to allow the users of the system and customers alike to interact with the system via a basic yet simple user interface . Brief user guide can be found on https://fqms.github.io/images/user_guide.pdf -
24
Flask-GraphQL
Adds GraphQL support to your Flask application
Adds GraphQL support to your Flask application. This will add /graphql endpoint to your app and enable the GraphiQL IDE. If you are using the Schema type of Graphene library, be sure to use the graphql_schema attribute to pass as schema on the GraphQLView view. Otherwise, the GraphQLSchema from graphql-core is the way to go. The GraphQLSchema object that you want the view to execute when it gets a valid request. A value to pass as the context_value to graphql execute function. By default is... -
25
Zappa
Serverless Python
Zappa makes it super easy to build and deploy serverless, event-driven Python applications (including, but not limited to, WSGI web apps) on AWS Lambda + API Gateway. Think of it as "serverless" web hosting for your Python apps. That means infinite scaling, zero downtime, zero maintenance - and at a fraction of the cost of your current deployments! With a traditional HTTP server, the server is online 24/7, processing requests one by one as they come in. If the queue of incoming requests...
