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Warehouse Alternatives
Similar projects and alternatives to warehouse
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Judoscale
Save 47% on cloud hosting with autoscaling that just works. Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.
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Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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InfluxDB
InfluxDB high-performance time series database. Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
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packj
Packj stops :zap: Solarwinds-, ESLint-, and PyTorch-like attacks by flagging malicious/vulnerable open-source dependencies ("weak links") in your software supply-chain
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pip-audit
Audits Python environments, requirements files and dependency trees for known security vulnerabilities, and can automatically fix them
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CodeRabbit
CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better warehouse alternative or higher similarity.
warehouse discussion
warehouse reviews and mentions
Posts with mentions or reviews of warehouse.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-03-11.
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Solving SSL Certificate Verification Issues with pip on macOS
# Check if Python can connect to pypi.org python -c "import urllib.request; urllib.request.urlopen('https://pypi.org')" # Test where Python is looking for certificates python -c "import ssl; print(ssl.get_default_verify_paths())" # Check pip configuration pip config debug
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What I wish I knew about Python when I started
But let me back up and start from the perspective of a total Python beginner, as that is who this post is intended for. In Python, there are a lot of built-in libraries available to you via the Python Standard Library. This includes packages like datetime which allows you to manipulate dates and times, or like smtplib which allows you to send emails, or like argparse which helps aid development of command line utilities, and so on. In addition, Python also has third-party libraries available through PyPI, the Python package index. You don't need to do anything special to utilize any of the Python Standard Library packages besides using an import statement in your Python script to reference them. But with PyPI packages you typically use pip install to first add them into your system, then reference them with the import keyword.
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Python Project Setup With uv – Virtual Environments and Package Management
Virtual Environments are isolated Python environments that have their own site-packages. Basically, it means that each virtual environment has its own set of dependencies to third-party packages usually installed from PyPI.
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Getting Started With Pipenv
Where can I find packages available for me to use in my project? At https://pypi.org/ of course!
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Create a python package and publish.
To upload your package to PyPI, you need to create an account on PyPI.
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How to create own Python project in 5 minutes
Upload your package into PyPi
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Publishing ADDCOM!
After setting up Poetry and verifying that everything was working as expected, I tweaked my CI workflow file, updated the tool’s documentation, and went on to publishing my tool to PyPi (The Python Package Index).
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Creating and Using Python Virtual Environments
PyPi website
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Publishing Open-Source Packages: Is It Really Worth It?
Despite the criticisms that some make about the effort involved in creating and maintaining open-source packages, the truth is that the process of publishing on platforms like PyPI and Packagist has become incredibly accessible. If you have a solid project and follow a few simple steps, your code can be available to thousands of developers in a matter of minutes.
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Researchers' Night, our project!
Finally, I’ll recommend another official resource that often gets overlooked when you’re starting out. When you’re just writing small scripts, managing dependencies and libraries tends to be ignored. I made that mistake, ignoring versions and compatibility of the libraries you're using can cause major problems, especially as your project grows in size and dependencies. On PyPI (Python Package Index), you can check the status of libraries, their requirements, versions, and compatibility with different versions of the language. If you’re thinking about starting a serious project in Python, this site is essential.
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A note from our sponsor - Judoscale
judoscale.com | 21 Apr 2025
Stats
Basic warehouse repo stats
293
3,704
9.8
4 days ago
pypi/warehouse is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of warehouse is Python.
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