Showing 2054 open source projects for "python-4suite-xml"

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  • 1
    Portfolio Performance

    Portfolio Performance

    Track and evaluate the performance of your investment portfolio

    Portfolio Performance: Track and evaluate the performance of your investment portfolio across stocks, cryptocurrencies, and other assets. Performance indicators like that True-Time Weighted Rate of Return or the internal rate of return ( Internal rate of return ) are calculated. Historical courses are automatically run by Yahoo Finance loaded or can be extracted from any HTML pages. Due to the open file format, all data is available as XML available or can be used as CSV be exported. Support...
    Downloads: 2 This Week
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  • 2
    AWS Data Wrangler

    AWS Data Wrangler

    Pandas on AWS, easy integration with Athena, Glue, Redshift, etc.

    An AWS Professional Service open-source python initiative that extends the power of Pandas library to AWS connecting DataFrames and AWS data-related services. Easy integration with Athena, Glue, Redshift, Timestream, OpenSearch, Neptune, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON, and EXCEL). Built on top of other open-source projects like Pandas, Apache Arrow and Boto3, it offers abstracted functions to execute usual...
    Downloads: 2 This Week
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  • 3
    CKAN

    CKAN

    CKAN is an open-source DMS for powering data hubs

    CKAN is the world’s leading open-source data portal platform. CKAN makes it easy to publish, share and work with data. It's a data management system that provides a powerful platform for cataloging, storing and accessing datasets with a rich front-end, full API (for both data and catalog), visualization tools and more.CKAN is used by national and regional government organizations throughout the European Union, the Americas, Asia, and Oceania to power a variety of official and community data...
    Downloads: 2 This Week
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  • 4
    SDGym

    SDGym

    Benchmarking synthetic data generation methods

    The Synthetic Data Gym (SDGym) is a benchmarking framework for modeling and generating synthetic data. Measure performance and memory usage across different synthetic data modeling techniques – classical statistics, deep learning and more! The SDGym library integrates with the Synthetic Data Vault ecosystem. You can use any of its synthesizers, datasets or metrics for benchmarking. You also customize the process to include your own work. Select any of the publicly available datasets from the...
    Downloads: 2 This Week
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  • 5
    wger

    wger

    Self hosted FLOSS fitness/workout, nutrition and weight tracker

    wger Workout Manager is a free and open web application that manages your exercises, routines and nutrition. It started out as a personal project to replace my growing collection of spreadsheets but has turned into something that other people may find useful. You can create and manage flexible training routines for whatever goals you have. Select exactly what exercises you are going to do and how many repetitions, time or distance you want to do. You can also combine different workouts in...
    Downloads: 2 This Week
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  • 6
    Apache HBase

    Apache HBase

    Get random, realtime read/write access to your Big Data

    ... HBase provides Bigtable-like capabilities on top of Hadoop and HDFS. Thrift gateway and a REST-ful Web service that supports XML, Protobuf, and binary data encoding options. Support for exporting metrics via the Hadoop metrics subsystem to files or Ganglia; or via JMX. Convenient base classes for backing Hadoop MapReduce jobs with Apache HBase tables.
    Downloads: 2 This Week
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  • 7
    Yahoo! Finance market data downloader

    Yahoo! Finance market data downloader

    Yahoo! Finance market data downloader

    Ever since Yahoo! finance decommissioned their historical data API, many programs that relied on it to stop working. yfinance aims to solve this problem by offering a reliable, threaded, and Pythonic way to download historical market data from Yahoo! finance. yfinance aimed to offer a temporary fix to the problem by scraping the data from Yahoo! Finance and returning a the data in the same format as pandas_datareader's get_data_yahoo(), thus keeping the code changes in existing software to a...
    Downloads: 2 This Week
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  • 8
    Synapse Machine Learning

    Synapse Machine Learning

    Simple and distributed Machine Learning

    SynapseML (previously MMLSpark) is an open source library to simplify the creation of scalable machine learning pipelines. SynapseML builds on Apache Spark and SparkML to enable new kinds of machine learning, analytics, and model deployment workflows. SynapseML adds many deep learning and data science tools to the Spark ecosystem, including seamless integration of Spark Machine Learning pipelines with the Open Neural Network Exchange (ONNX), LightGBM, The Cognitive Services, Vowpal Wabbit,...
    Downloads: 2 This Week
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  • 9
    XGBoost

    XGBoost

    Scalable and Flexible Gradient Boosting

    ... can be used for Python, Java, Scala, R, C++ and more. It can run on a single machine, Hadoop, Spark, Dask, Flink and most other distributed environments, and is capable of solving problems beyond billions of examples.
    Downloads: 2 This Week
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  • 10
    leafmap

    leafmap

    A Python package for interactive mapping and geospatial analysis

    A Python package for geospatial analysis and interactive mapping in a Jupyter environment. Leafmap is a Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment. It is a spin-off project of the geemap Python package, which was designed specifically to work with Google Earth Engine (GEE). However, not everyone in the geospatial community has access to the GEE cloud computing platform. Leafmap is designed to fill this gap for non-GEE users...
    Downloads: 1 This Week
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  • 11
    Mage.ai

    Mage.ai

    Build, run, and manage data pipelines for integrating data

    Open-source data pipeline tool for transforming and integrating data. The modern replacement for Airflow. Effortlessly integrate and synchronize data from 3rd party sources. Build real-time and batch pipelines to transform data using Python, SQL, and R. Run, monitor, and orchestrate thousands of pipelines without losing sleep. Have you met anyone who said they loved developing in Airflow? That’s why we designed an easy developer experience that you’ll enjoy. Each step in your pipeline...
    Downloads: 1 This Week
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  • 12
    H2O Wave

    H2O Wave

    Realtime Web Apps and Dashboards for Python and R

    No HTML, CSS, Javascript skills are required. Build rich, interactive web apps using pure Python. Broadcast live information, visualizations, and graphics using Wave's low-latency real-time server. Instant control over every connected web browser using a simple and intuitive programming model. Preview your app live as you code. Dramatically reduce the time and effort to build web apps. Easily share your apps with end-users, get feedback, improve and iterate. ~10MB static executables for Linux...
    Downloads: 1 This Week
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  • 13
    Robin-Stocks API Library

    Robin-Stocks API Library

    This is a library to use with Robinhood Financial App

    This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real-time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. The code is simple to use, easy to understand, and easy to modify. With this library, you can view information on stocks, options, and cryptocurrencies in real-time, create your own robo-investor or...
    Downloads: 1 This Week
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  • 14
    loonflow

    loonflow

    A workflow engine base on django python

    a workflow engine base on django The django-based workflow engine system (called through the http interface, can be used as a unified workflow engine within the enterprise, providing all workflows such as permission application, resource application, release application, leave, reimbursement, it service, etc. Scenario services), if there is a certain development capability, it is recommended to use only the back-end engine function, and the front-end customized development according to the...
    Downloads: 1 This Week
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  • 15
    Saleor Commerce

    Saleor Commerce

    A modular, high performance, headless e-commerce platform

    An open-source, GraphQL-first e-commerce platform delivering ultra-fast, dynamic and personalized shopping experiences. A headless, GraphQL commerce platform delivering ultra-fast, dynamic, personalized shopping experiences. Beautiful online stores, anywhere, on any device. Saleor is a rapidly-growing open source e-commerce platform that has served high-volume companies from branches like publishing and apparel since 2012. Based on Python and Django, the latest major update introduces a modular...
    Downloads: 1 This Week
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  • 16
    ClearML

    ClearML

    Streamline your ML workflow

    ClearML is an open source platform that automates and simplifies developing and managing machine learning solutions for thousands of data science teams all over the world. It is designed as an end-to-end MLOps suite allowing you to focus on developing your ML code & automation, while ClearML ensures your work is reproducible and scalable. The ClearML Python Package for integrating ClearML into your existing scripts by adding just two lines of code, and optionally extending your experiments...
    Downloads: 1 This Week
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  • 17
    PySyft

    PySyft

    Data science on data without acquiring a copy

    Most software libraries let you compute over the information you own and see inside of machines you control. However, this means that you cannot compute on information without first obtaining (at least partial) ownership of that information. It also means that you cannot compute using machines without first obtaining control over those machines. This is very limiting to human collaboration and systematically drives the centralization of data, because you cannot work with a bunch of data...
    Downloads: 1 This Week
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  • 18
    Bayesian Optimization

    Bayesian Optimization

    Python implementation of global optimization with gaussian processes

    This is a constrained global optimization package built upon bayesian inference and gaussian process, that attempts to find the maximum value of an unknown function in as few iterations as possible. This technique is particularly suited for optimization of high cost functions, situations where the balance between exploration and exploitation is important. More detailed information, other advanced features, and tips on usage/implementation can be found in the examples folder. Follow the basic...
    Downloads: 1 This Week
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  • 19
    Indico

    Indico

    A feature-rich event management system

    The effortless open-source tool for event organization, archival, and collaboration. Event-organization workflow that fits lectures, meetings, workshops, and conferences. A feature-rich event management system, made @ CERN, the place where the Web was born. A powerful and flexible hierarchical content management system for events, a full-blown conference organization workflow with call for Abstracts and abstract reviewing modules; flexible registration form creation and configuration;...
    Downloads: 1 This Week
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  • 20
    PyTorch Forecasting

    PyTorch Forecasting

    Time series forecasting with PyTorch

    PyTorch Forecasting aims to ease state-of-the-art time series forecasting with neural networks for both real-world cases and research alike. The goal is to provide a high-level API with maximum flexibility for professionals and reasonable defaults for beginners. A time series dataset class that abstracts handling variable transformations, missing values, randomized subsampling, multiple history lengths, etc. A base model class that provides basic training of time series models along with...
    Downloads: 1 This Week
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  • 21
    rudderstack

    rudderstack

    Privacy and Security focused Segment-alternative, in Golang

    Quickly deploy flexible, powerful customer data pipelines, then send the data to your entire stack—without the engineering headache. Our complete toolset makes it easy to level-up your customer data stack. Spare your data engineers the headache. Our 180+ integrations, along with custom webhook sources and destinations, save data teams hundred of hours. Say goodbye to different versions of the truth. Our SDKs track anonymous and known users at the source and reconcile users in your warehouse...
    Downloads: 1 This Week
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  • 22
    Apache RocketMQ

    Apache RocketMQ

    Distributed messaging and streaming platform with low latency

    Apache RocketMQ is a distributed messaging and streaming platform with low latency, high performance and reliability, trillion-level capacity and flexible scalability. Messaging patterns including publish/subscribe, request/reply and streaming. Financial grade transactional message. Built-in fault tolerance and high availability configuration options base on DLedger. A variety of cross language clients, such as Java, C/C++, Python, Go. Pluggable transport protocols, such as TCP, SSL, AIO. Built...
    Downloads: 1 This Week
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  • 23
    The Julia Programming Language

    The Julia Programming Language

    High-level, high-performance dynamic language for technical computing

    .... Libraries from Python, R, C/Fortran, C++, and Java can also be used.
    Downloads: 1 This Week
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  • 24
    Recap

    Recap

    Recap tracks and transform schemas across your whole application

    Recap is a schema language and multi-language toolkit to track and transform schemas across your whole application. Your data passes through web services, databases, message brokers, and object stores. Recap describes these schemas in a single language, regardless of which system your data passes through. Recap schemas can be defined in YAML, TOML, JSON, XML, or any other compatible language.
    Downloads: 0 This Week
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  • 25
    GemGIS

    GemGIS

    Spatial data processing for geomodeling

    GemGIS is a Python-based, open-source geographic information processing library. It is capable of preprocessing spatial data such as vector data (shape files, geojson files, geopackages,…), raster data (tif, png,…), data obtained from online services (WCS, WMS, WFS) or XML/KML files (soon). Preprocessed data can be stored in a dedicated Data Class to be passed to the geomodeling package GemPy in order to accelerate the model-building process. Postprocessing of model results will allow export...
    Downloads: 0 This Week
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