Search Results for "python-libpcap"

...The masters monitor source-code repositories for changes, coordinate the activities of the workers, and report results to users and developers. Workers run on a variety of operating systems. You configure Buildbot by providing a Python configuration script to the master. This script can be very simple, configuring built-in components, but the full expressive power of Python is available. This allows dynamic generation of configuration, customized components, and anything else you can devise. The framework itself is implemented in Twisted Python, and compatible with all major operating systems.

Can be deployed on AWS, GCE, Azure, OpenStack, vSphere, Equinix Metal (bare metal), Oracle Cloud Infrastructure (Experimental), or Baremetal. Highly available cluster. Composable (Choice of the network plugin for instance). Supports most popular Linux distributions. Continuous integration tests. The list of available docker versions is 18.09, 19.03, and 20.10. The recommended docker version is 20.10. The kubelet might break on docker's non-standard version numbering (it no longer uses...

Deepchecks is the leading tool for testing and for validating your machine learning models and data, and it enables doing so with minimal effort. Deepchecks accompany you through various validation and testing needs such as verifying your data’s integrity, inspecting its distributions, validating data splits, evaluating your model and comparing between different models. While you’re in the research phase, and want to validate your data, find potential methodological problems, and/or validate...

Dagster is an orchestration platform for the development, production, and observation of data assets. Dagster as a productivity platform: With Dagster, you can focus on running tasks, or you can identify the key assets you need to create using a declarative approach. Embrace CI/CD best practices from the get-go: build reusable components, spot data quality issues, and flag bugs early. Dagster as a robust orchestration engine: Put your pipelines into production with a robust...

...Programming language, Python3.6 + HTML + JScripts. Front-end web framework, Bootstrap. Backend Web Framework, Django. Backend Task Framework, Celery + Redis. Programming language is Python 3.6. Operating System is CentOS 6+. Ansible version 2.6+. Deployment platform and node server Rsync 3+.

Piplin (inspired by "pipeline", pronounced /ˈpɪpˌlɪn/ or /ˈpaɪpˌlaɪn/) is a free, open-source continuous integration and deployment system suitable for various application scenarios related to the automated construction, testing and deployment of software. Support the construction, testing and release of projects such as PHP, Python, JAVA, Ruby, etc. Can be integrated with code hosting platforms such as Gitlab, Github, Gogs, Gitee (Oschina). Flexibility to configure custom build and deployment steps. Support for custom build rules, create releases and deploy builds. Support multi-environment deployment of the project (you can create multiple environments such as development, testing, pre-release and production by yourself). ...

Strider is an Open Source Continuous Deployment / Continuous Integration platform written in Node.js and Ember.js, with MongoDB as a backing store. Strider is designed to be easy to set up and use, with reasonable defaults and automation and minimal extraneous UI. It is also extremely customizable through plugins, which allows it to add hooks for performing arbitrary actions during build, modify the database schema, create or modify user interfaces, and so much more! Strider comes with a...

The QTaste is an open-source functional and non-functional test environment offering services to developers and testers. It has been implemented following a data driven testing philosophy. (WE MOVED TO GITHUB https://github.com/qspin/qtaste) Continuous Integration available at https://qtaste.ci.cloudbees.com/

Collection of Trac/Agilo plugins for project management and continuous integration.

Bitten is a Python-based framework for collecting various software metrics via continuous integration.