Showing 4 open source projects for "app"

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  • 1
    APIPark

    APIPark

    APIPark is the #1 open-source AI Gateway and Developer Portal

    ...It unifies the management of all authentication information and tracks the costs of API calls. Standardize the request data format for all AI models. When switching AI models or modifying prompts, it won’t affect your app or microservices, simplifying your AI usage and reducing maintenance costs. You can quickly combine AI models and prompts into new APIs. For example, using OpenAI GPT-4 and custom prompts, you can create sentiment analysis APIs, translation APIs, or data analysis APIs. API lifecycle management helps standardize the process of managing APIs, including traffic forwarding, load balancing, and managing different versions of publicly accessible APIs. ...
    Downloads: 6 This Week
    Last Update:
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  • 2
    Flask-Limiter

    Flask-Limiter

    Rate Limiting extension for Flask

    Flask-Limiter provides rate-limiting features to flask applications. It allows configuring various backends to persist the rate limits, which is provided by the limits library. Sponsored by Zuplo - fully-managed API Gateway with rate limiting, authentication, and more. Add rate limiting to your API in minutes, try it at zuplo.com Test it out. The fast endpoint respects the default rate limit while the slow endpoint uses the decorated one. ping has no rate limit associated with it. By adding...
    Downloads: 5 This Week
    Last Update:
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  • 3
    Zappa - Serverless Python

    Zappa - Serverless Python

    Serverless Python

    ...AWS handles the horizontal scaling automatically, so no requests ever time out. Each request then calls your application from a memory cache in AWS Lambda and returns the response via Python's WSGI interface. After your app returns, the "server" dies.
    Downloads: 0 This Week
    Last Update:
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  • 4
    Zappa

    Zappa

    Serverless Python

    ...AWS handles the horizontal scaling automatically, so no requests ever time out. Each request then calls your application from a memory cache in AWS Lambda and returns the response via Python's WSGI interface. After your app returns, the "server" dies.
    Downloads: 0 This Week
    Last Update:
    See Project
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