Showing 589 open source projects for "jpbc-api"

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  • 1
    Slacker

    Slacker

    Full-featured Python interface for the Slack API

    Slacker is a full-featured Python interface for the Slack API.
    Downloads: 0 This Week
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    MozOS

    MozOS

    Complete Edition

    Universal ThinKing Machine
    Downloads: 0 This Week
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  • 3

    Python DB-API 2.0 module for ADO

    Use Microsoft ADO to read/write most data bases.

    Python module that makes it easy to use Microsoft ADO for connecting with databases and other data sources. For CPython users, this module is included as part of pywin32 (https://github.com/mhammond/pywin32), and continued support will take place there. This fork will be maintained for Iron Python users. * Documentation at http://adodbapi.sourceforge.net/quick_reference.pdf or quick_reference.odb in the .zip
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    Downloads: 2 This Week
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  • 4
    FirePlus

    FirePlus

    Complete Edition

    Universal ThinKing Machine
    Downloads: 0 This Week
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    PixieDust

    PixieDust

    Python Helper library for Jupyter Notebooks

    PixieDust is an open source Python helper library that works as an add-on to Jupyter notebooks to improve the user experience of working with data. It also fills a gap for users who have no access to configuration files when a notebook is hosted on the cloud.
    Downloads: 3 This Week
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  • 6
    GUIDOLib
    The GUIDOLib provides a powerful engine for the graphic rendering of music scores, based on the Guido Music Notation format. It supports Linux, Mac OS X, Windows, Android and iOS operating systems. A Java JNI interface is available as well as a Javascript version of the library. A Web API has also been designed, allowing to deploy the engine as a Web service.
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  • 7
    Twint

    Twint

    An advanced Twitter scraping & OSINT tool written in Python

    Twint is an advanced open-source Twitter scraping and OSINT tool written in Python that extracts tweets, user data, followers, likes, and more—without relying on Twitter’s API—making it highly useful for researchers, analysts, and hobbyists who want to bypass rate limits and access public Twitter data.
    Downloads: 0 This Week
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  • 8

    Optimized Storage for temporal Data

    open Optimized Storage of time series data

    Beta version. Base class for optimized storage of time series data. Uses any kind of relational database. Cross plateform with multiple languages (C++, C#, Java). Conditional storage based on value variation : DeltaValue and DeltaTime params. Get back data without losts.
    Downloads: 0 This Week
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  • 9
    setupdocx

    setupdocx

    Multidocument automation by templates - for sphinx, mkdocs, epydoc ...

    ...The current release supports the following commands: - build_docx - Enhanced documentation. - install_docx - Installs local documentation. - dist_docx - Documentation packaging. - build_apidoc - Standalone Generator for API Documentation - build_apiref - Standalone Generator for API Reference
    Downloads: 1 This Week
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  • 10
    yz-next-apyref

    yz-next-apyref

    Arno-Can's Python based API Reference Generator.

    Multi-Syntax-Version and Multi-Implementation API reference documentation generator. Supports local and remote sources.
    Downloads: 0 This Week
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  • 11
    yapydata

    yapydata

    Lower-Layer unified data - JSON, XML, YAML + INI, CFG, properties

    The yapydata - Yet Another Python Data - provides a unified interface for the access to various data syntaxes. Therefore it encapsulates the libraries by offering a common API with the canonical internal data as JSON compatible Python in-memory structure. The application is foreseen in particular for the lower layer of the software stack including setup-tools. Thus it uses standard libraries only whenever possible. The initial supported DDLs are: * JSON, XML, YAML and the formats * INI, CFG, .properties The yapydata in particular supports the advanced access to data entries by mapping the dotted-OID notation onto mixed in-memory data types, optional including non-conformant tyeps such as tuple and set.
    Downloads: 1 This Week
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  • 12
    hug

    hug

    Embrace the APIs of the future. For developing APIs

    hug aims to make developing Python-driven APIs as simple as possible, but no simpler. As a result, it drastically simplifies Python API development. Make developing a Python-driven API as succinct as a written definition. The framework should encourage code that self-documents. It should be fast. A developer should never feel the need to look somewhere else for performance reasons. Writing tests for APIs written on-top of hug should be easy and intuitive. Magic done once, in an API framework, is better than pushing the problem set to the user of the API framework. ...
    Downloads: 0 This Week
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  • 13
    Nebula worker

    Nebula worker

    The worker node manager container which manages nebula nodes

    ...Designed to connect to devices that are spread around the globe Nebula is tolerant of network connection issues and will resync the device when it reconnects. With a single API call you can deploy a new container version to managed devices around the globe in minutes.
    Downloads: 0 This Week
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  • 14
    Python Poloniex

    Python Poloniex

    Poloniex API wrapper for Python 2.7 & 3

    Poloniex API wrapper for Python 2.7 & 3.
    Downloads: 0 This Week
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  • 15

    TestLink-API-Python-client

    Python XML-RPC client for TestLink

    TestLink-API-Python-client is a Python XML-RPC client for TestLink Initially based on James Stock testlink-api-python-client R7 and Olivier Renault JinFeng idea - an interaction of TestLink, Robot Framework and Jenkins. TestLink-API-Python-client delivers two main classes - TestlinkAPIGeneric - Implements the Testlink API methods as generic PY methods with error handling - TestlinkAPIClient - Inherits from TestlinkAPIGeneric and defines service methods like "copyTCnewVersion" and the helper class - TestLinkHelper - search connection parameter from environment variables and command line arguments
    Downloads: 1 This Week
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  • 16
    The Google Cloud Developer's Cheat Sheet

    The Google Cloud Developer's Cheat Sheet

    Cheat sheet for Google Cloud developers

    ...There are several products in pre-release/private-alpha that will not be included until they go public beta or GA. Many of these products have a free tier. There is also a free trial that will enable you try almost everything. API platforms and ecosystems, developer and management tools, identity and security tools, gaming, networking, data and analytics tools, database, storage, gaming tools, and many more.
    Downloads: 0 This Week
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  • 17
    captcha_break

    captcha_break

    Identification codes

    This project will use Keras to build a deep convolutional neural network to identify the captcha verification code. It is recommended to use a graphics card to run the project. The following visualization codes are jupyter notebookall done in . If you want to write a python script, you can run it normally with a little modification. Of course, you can also remove these visualization codes. captcha is a library written in python to generate verification codes. It supports image verification...
    Downloads: 0 This Week
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  • 18
    Embed Prolog directly in your Python, C# or Javascript program using the yield keyword. There is no API standing between your code and Yield Prolog, so you can use all language features, including arrays, file I/O, user interaction and your own classes.
    Downloads: 0 This Week
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  • 19
    Active Learning

    Active Learning

    Framework and examples for active learning with machine learning model

    Active Learning is a Python-based research framework developed by Google for experimenting with and benchmarking various active learning algorithms. It provides modular tools for running reproducible experiments across different datasets, sampling strategies, and machine learning models. The system allows researchers to study how models can improve labeling efficiency by selectively querying the most informative data points rather than relying on uniformly sampled training sets. The main...
    Downloads: 0 This Week
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  • 20
    CODESH

    CODESH

    Automatic persistent logbooks for Linux shell sessions (bash, tcsh...)

    The CODESH (COllaborative DEvelopment SHell) project provides an automatic persistent logbook for sessions of personal command-line work by recording what and how is being done: for private use/reuse and for sharing selected parts with collaborators.
    Downloads: 0 This Week
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  • 21
    Django REST Pandas

    Django REST Pandas

    Serves up Pandas dataframes via the Django REST Framework

    Django REST Pandas (DRP) provides a simple way to generate and serve pandas DataFrames via the Django REST Framework. The resulting API can serve up CSV (and a number of other formats for consumption by a client-side visualization tool like d3.js. The design philosophy of DRP enforces a strict separation between data and presentation. This keeps the implementation simple, but also has the nice side effect of making it trivial to provide the source data for your visualizations. ...
    Downloads: 0 This Week
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  • 22
    django-rest-auth

    django-rest-auth

    This app makes it extremely easy to build Django powered SPA's

    This app makes it extremely easy to build Django powered SPA's (Single Page App) or Mobile apps exposing all registration and authentication-related functionality as CBV's (Class Base View) and REST (JSON). Tivix rebuilt a NATO software system to organize and coordinate rescue missions for submarines in distress across the globe. The United Nations Partner Portal (UNPP) is a web application built for a group of UN agencies to simplify their business processes and streamline collaboration...
    Downloads: 0 This Week
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  • 23
    numpy_exercises

    numpy_exercises

    Numpy exercises

    ...Sorting, searching, counting, and statistics are also included. Rather than presenting a single application, the repository serves as a structured hands-on workbook for building practical familiarity with the NumPy API.
    Downloads: 2 This Week
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  • 24
    Maya

    Maya

    Datetimes for Humans

    Maya is a Python library that simplifies working with datetime objects. It provides a human-friendly API for parsing, formatting, and manipulating dates and times, addressing common frustrations with Python's built-in datetime module.​
    Downloads: 1 This Week
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  • 25
    Wally

    Wally

    Distributed Stream Processing

    ...Be portable and deploy easily (i.e., run on-prem or any cloud). Manage in-memory state for the application. Allow applications to scale as needed, even when they are live and up-and-running. The primary API for Wally is written in Pony. Wally applications are written using this Pony API.
    Downloads: 2 This Week
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