About
Package, dependency, and environment management for any language, Python, R, Ruby, Lua, Scala, Java, JavaScript, C/ C++, Fortran, and more. Conda is an open-source package management system and environment management system that runs on Windows, macOS, Linux, and z/OS. Conda quickly installs, runs, and updates packages and their dependencies. Conda easily creates, saves, loads, and switches between environments on your local computer. It was created for Python programs, but it can package and distribute software for any language. Conda as a package manager helps you find and install packages. If you need a package that requires a different version of Python, you do not need to switch to a different environment manager, because conda is also an environment manager. With just a few commands, you can set up a totally separate environment to run that different version of Python, while continuing to run your usual version of Python in your normal environment.
|
About
MSYS2 is a collection of tools and libraries providing you with an easy-to-use environment for building, installing and running native Windows software. It consists of a command line terminal called mintty, bash, version control systems like git and subversion, tools like tar and awk and even build systems like autotools, all based on a modified version of Cygwin. Despite some of these central parts being based on Cygwin, the main focus of MSYS2 is to provide a build environment for native Windows software and the Cygwin-using parts are kept at a minimum. MSYS2 provides up-to-date native builds for GCC, mingw-w64, CPython, CMake, Meson, OpenSSL, FFmpeg, Rust, Ruby, just to name a few. To provide easy installation of packages and a way to keep them updated it features a package management system called Pacman, which should be familiar to Arch Linux users.
|
About
PyPI is the official repository for Python software packages, hosting hundreds of thousands of projects that developers can publish and users can discover and install. It supports both source distributions (“sdists”) and pre-built binary “wheels”, allowing packages to include native extensions for different platforms. Projects on PyPI consist of multiple releases, each of which can include various files for different operating systems or Python versions. Metadata for each package includes things like version number, dependencies, licensing, classifiers, description (including rendering Markdown or reStructuredText), and other information that tools like pip use to resolve, download, and install the correct package. PyPI provides search and filtering based on package metadata, letting users find what they need via keywords, compatibility, or other package attributes.
|
About
python-sql is a library to write SQL queries in a pythonic way. Simple selects, select with where condition. Select with join or select with multiple joins. Select with group_by and select with output name. Select with order_by, or select with sub-select. Select on other schema and insert query with default values. Insert query with values, and insert query with query. Update query with values. Update query with where condition. Update query with from the list. Delete query with where condition, and delete query with sub-query. Provides limit style, qmark style, and numeric style.
|
|||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||
Audience
IT professionals and users in need of a solution to find and install packages and set up environments
|
Audience
Developers in need of a software distribution and building platform for Windows
|
Audience
Python developers searching for a solution to publish, distribute, search for, and install software libraries and tools
|
Audience
Developers searching for a solution offering a library to write SQL queries
|
|||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||
API
Offers API
|
API
Offers API
|
API
Offers API
|
API
Offers API
|
|||
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
|||
Pricing
Free
Free Version
Free Trial
|
Pricing
Free
Free Version
Free Trial
|
Pricing
Free
Free Version
Free Trial
|
Pricing
Free
Free Version
Free Trial
|
|||
Reviews/
|
Reviews/
|
Reviews/
|
Reviews/
|
|||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||
Company InformationConda
docs.conda.io
|
Company InformationMSYS2
www.msys2.org
|
Company InformationPyPI
Founded: 2003
United States
pypi.org
|
Company InformationPython Software Foundation
United States
pypi.org/project/python-sql/
|
|||
Alternatives |
Alternatives |
Alternatives |
Alternatives |
|||
|
|
||||||
|
|
||||||
|
|
||||||
Categories |
Categories |
Categories |
Categories |
|||
Integrations
Amazon Web Services (AWS)
Arize Phoenix
CodeQwen
Datadog
Domino Enterprise MLOps Platform
Google Cloud Platform
JetBrains DataSpell
Koi
Markdown
Pacman
|
Integrations
Amazon Web Services (AWS)
Arize Phoenix
CodeQwen
Datadog
Domino Enterprise MLOps Platform
Google Cloud Platform
JetBrains DataSpell
Koi
Markdown
Pacman
|
Integrations
Amazon Web Services (AWS)
Arize Phoenix
CodeQwen
Datadog
Domino Enterprise MLOps Platform
Google Cloud Platform
JetBrains DataSpell
Koi
Markdown
Pacman
|
Integrations
Amazon Web Services (AWS)
Arize Phoenix
CodeQwen
Datadog
Domino Enterprise MLOps Platform
Google Cloud Platform
JetBrains DataSpell
Koi
Markdown
Pacman
|
|||
|
|
|
|
|