The Apache Gump continuous integration tool was the first one developed at the Apache Software Foundation. It is written in Python and fully supports Apache Ant, Apache Maven (1.x to 3.x) and other build tools. Gump is unique in that it builds and compiles software against the latest development versions of those projects. This allows Gump to detect potentially incompatible changes to that software just a few hours after those changes are checked into the version control system. Notifications are sent to the project team as soon as such a change is detected, referencing more detailed reports available online.

 The Apache Gump continuous integration tool was the first one developed at the Apache Software Foundation. It is written in Python and fully supports Apache Ant, Apache Maven (1.x to 3.x) and other build tools. Gump is unique in that it builds and compiles software against the latest development versions of those projects. This allows Gump to detect potentially incompatible changes to that software just a few hours after those changes are checked into the version control system. Notifications are sent to the project team as soon as such a change is detected, referencing more detailed reports available online. 

Apache Gump - Large scale continuous integration for various open source projects.

With Quilt you can build, push, and install data packages. Data packages are versioned, reusable data structures that can be loaded into Python. Quilt is designed to support reproducible, auditable, and compliant workflows. Quilt consists of three source-level components data catalog, data registry and data compiler.
 
Its features include: 
<ul>
<li>Versioning and storage of large data</li>
<li>Transformation of a variety of file formats into data frames (via pandas and pyarrow)</li>
<li>De-duplication of repeated data for reduced disk and network footprint</li>
</ul>

With Quilt you can build, push, and install data packages. Data packages are versioned, reusable data structures that can be loaded into Python. Quilt is designed to support reproducible, auditable, and compliant workflows. Quilt consists of three source-level components data catalog, data registry and data compiler.

Quilt - Data Engineering Infrastructure

 A script/library to create, launch and remove an Apache Cassandra cluster on localhost. The goal of ccm and ccmlib is to make it easy to create, manage and destroy a small Cassandra cluster on a local box. It is meant for testing a Cassandra cluster.

CCM - A script to easily create and destroy an Apache Cassandra cluster on localhost

MongoPool is the tool that manages your connections to different clusters, maps databases to clients and allows you to work only with database names without worrying about creating and managing connections. You will never have to create a MongoClient everywhere you want to access a database again which enables you to write beautiful and maintainable code. 

MongoPool - Manages MongoDB Connections 

Rally is the macrobenchmarking framework for Elasticsearch. It helps to setup and teardown of an Elasticsearch cluster for benchmarking, Running benchmarks and recording results, Finding performance problems by attaching so-called telemetry devices, Management of benchmark data and specifications even across Elasticsearch versions and lot more.

Rally - Macrobenchmarking framework for Elasticsearch

python-registry is a pure Python library that provides read-only access to Windows NT Registry files. These include NTUSER.DAT, userdiff, and SAM. The interface is two-fold: a high-level interface suitable for most tasks, and a low level set of parsing objects and methods which may be used for advanced study of the Windows NT Registry. The library is portable across all major platforms.

python-registry - Read access to Windows Registry files.

Rubrix is a production-ready Python framework for exploring, annotating, and managing data in NLP projects.
Most annotation tools treat data collection as a one-off activity at the beginning of each project. In real-world projects, data collection is a key activity of the iterative process of ML model development. Once a model goes into production, you want to monitor and analyze its predictions, and collect more data to improve your model over time. Rubrix is designed to close this gap, enabling you to iterate as much as you need.

RUBRIX -  Python framework to explore, label, and monitor data for NLP

Easypost is a basic CLI postfix/dovecot administration system. It provides basic command line tool and python model to manage multiple virtual email adresses on a postfix based system. This includes adding/removing email addresses and aliases, generating passwords. The addresses are stored in a postgresql database.

Easypost - Very simple python based email management tool for postfix and dovecot on postgresql

CodernityDB is pure python (no 3rd party dependency), fast multi-platform, schema-less, NoSQL database. It has optional support for HTTP server version (CodernityDB-HTTP), and also Python client library (CodernityDB-PyClient) that aims to be 100% compatible with embeded version. It is an advanced key-value database, with multiple key-values indexes in the same engine. It has support for Multiple indexes, Custom storage, Sharding.

CodernityDB - Pure python, NoSQL, Fast Database

CryptoTracker makes it easy for you to collect, store, analyze, visualize, and monitor cryptocurrency data. You can use this open source project to track Price, Bid/Ask Spreads, Size, and Volume, test hypotheses about markets, build machine learning models to predict price movements, understand volatility, arbitrage / algorithmically trade, and more. CryptoTracker enables high-quality cryptocurrency R&D across all major exchanges.

CryptoTracker - A complete open source system for tracking and visualizing cryptocurrency price movements on leading exchanges

 The Anchore Engine is an open source project that provides a centralized service for inspection, analysis and certification of container images. The Anchore engine is provided as a Docker container image that can be run standalone or on an orchestration platform such as Kubernetes, Docker Swarm, Rancher or Amazon ECS. The Anchore engine can be accessed directly through a RESTful API or via the Anchore CLI.

Anchore Engine - Centralized service for inspection, analysis and certification of container images

Rietveld is a code review tool, it inherits few code from Mondrian (Gerrit). It is practical tool for the Python developer community, and hopefully for other open source communities. Proper code review habits can really improve the quality of a code base, and good tools for code review will improve developer's life.
 
This project shows how to create a somewhat substantial web application using Django on Google App Engine. It requires Python 2.7 and Django version 1.3 (although a previous version using Python 2.5 and Django 1.2 can still be found in the py25 branch in the repository).

Rietveld is a code review tool, it inherits few code from Mondrian (Gerrit). It is practical tool for the Python developer community, and hopefully for other open source communities. Proper code review habits can really improve the quality of a code base, and good tools for code review will improve developer's life.

Rietveld - Code Review, hosted on Google App Engine

Kel is an open source Platform as a Service (PaaS) from Eldarion, Inc. that makes it easy to manage web application deployment and hosting through the entire lifecycle from development through testing to production. It adds components and tools on top of Kubernetes that help developers manage their application infrastructure. Kel builds on Eldarion's 7+ years experience running one of the leading Python and Django PaaSes.

pykube - Python client library for Kubernetes

Gnocchi is an open-source |time series| database. The problem that Gnocchi solves is the storage and indexing of |time series| data and resources at a large scale. This is useful in modern cloud platforms which are not only huge but also are dynamic and potentially multi-tenant. Gnocchi takes all of that into account. Gnocchi has been designed to handle large amounts of aggregates being stored while being performant, scalable and fault-tolerant. While doing this, the goal was to be sure to not build any hard dependency on any complex storage system.
 
Gnocchi takes a unique approach to time series storage: rather than storing raw data points, it aggregates them before storing them. This built-in feature is different from most other time series databases, which usually support this mechanism as an option and compute aggregation (average, minimum, etc.) at query time.

Gnocchi is an open-source |time series| database. The problem that Gnocchi solves is the storage and indexing of |time series| data and resources at a large scale. This is useful in modern cloud platforms which are not only huge but also are dynamic and potentially multi-tenant. Gnocchi takes all of that into account. Gnocchi has been designed to handle large amounts of aggregates being stored while being performant, scalable and fault-tolerant. While doing this, the goal was to be sure to not build any hard dependency on any complex storage system.

Gnocchi - Time series database

Boltstream is a self-hosted Live Video Streaming Website + Backend. It supports live stream via RTMP with a stream key to your RTMP ingest server, Any number of simultaneous live streams, Capture VODs (recordings) of live streams, Timed metadata via WebVTT.

Boltstream - Self-hosted Live Video Streaming Website + Backend

Discover open source projects across all platforms

Projects