Private Conda Package Repository for Data Science Teams
Host private Python packages for conda environments today. Full PyPI compatibility means you can start immediately, with native conda channel support coming soon.
Save 60% or more compared to Anaconda.org paid plans. No egress fees, no surprises.
conda activate myproject
pip install my-ml-model --index-url \
https://token@org.mycloudrepo.io/repo/simple
# Successfully installed my-ml-model-2.1.0Start Using CloudRepo with Conda Today
No need to wait for native conda channel support. CloudRepo's PyPI repositories work perfectly with conda environments right now.
Available Today
- • Full PyPI repository support for Python packages
- • Works seamlessly with pip in conda environments
- • Compatible with environment.yml files
- • Private, secure package hosting
Coming Soon
- • Native conda channel hosting
- • Support for .conda and .tar.bz2 packages
- • Direct conda install from CloudRepo channels
- • Repodata.json generation and management
Why start now? Most conda users already use pip for packages not available in conda channels. CloudRepo gives you a private, secure place to host these packages today, with native conda support as a free upgrade when available.
Enterprise Features for Data Science Teams
Everything you need to manage private packages in conda environments, with enterprise security and compliance.
- Immediate PyPI Support
- Start today with CloudRepo's PyPI repositories - fully compatible with conda environments using pip.
- Native Conda Channels
- Coming soon: Full conda channel support for hosting .conda and .tar.bz2 packages directly.
- Private & Secure
- Enterprise-grade security with API tokens, team management, and granular access control.
- Version Control
- Track package versions, manage dependencies, and maintain reproducible environments.
- No Egress Fees
- Unlike other providers, we don't charge for package downloads. Predictable, transparent pricing.
- Blazing Fast CDN
- Global CDN ensures fast package installation for your team, anywhere in the world.
Quick Setup: Conda + CloudRepo
Get your team using private packages in conda environments in under 5 minutes.
Create Your CloudRepo Repository
Sign up for CloudRepo and create a Python repository for your conda packages.
# Create a new Python repository in CloudRepo
# Name: ml-packages or data-science-tools
# Type: Python/PyPI
# Access: Private
Configure Conda Environment with pip
Set up your conda environment to use CloudRepo for pip packages.
# Create or activate your conda environment
conda create -n myproject python=3.11
conda activate myproject
# Configure pip to use CloudRepo
pip config set global.index-url \
https://[token]@[your-org].mycloudrepo.io/repositories/[repo-name]/simple
# Or use environment variable
export PIP_INDEX_URL=https://[token]@[your-org].mycloudrepo.io/repositories/[repo-name]/simple
Install Packages from CloudRepo
Install your private packages alongside conda packages seamlessly.
# Install conda packages as usual
conda install numpy pandas scikit-learn
# Install private packages from CloudRepo via pip
pip install your-private-ml-model
pip install company-data-utils==2.1.0
# Or specify in environment.yml
name: myproject
channels:
- defaults
- conda-forge
dependencies:
- python=3.11
- numpy
- pandas
- pip
- pip:
- --index-url https://[token]@[your-org].mycloudrepo.io/repositories/[repo-name]/simple
- your-private-package
- another-internal-tool
Upload Your Python Packages
Build and upload Python packages for use in conda environments.
# Build your Python package
python -m build
# Upload to CloudRepo
twine upload --repository-url \
https://[your-org].mycloudrepo.io/repositories/[repo-name] \
--username [username] --password [token] \
dist/*
# Now available in all conda environments with pip configured
Trusted by Data Science Teams Worldwide
From research labs to Fortune 500 companies, teams choose CloudRepo for secure package management.
Data Science & Machine Learning
Share trained models, custom preprocessing libraries, and proprietary algorithms across your research team. Version control ensures reproducible experiments.
Scientific Computing
Distribute computational packages, simulation tools, and analysis scripts. Perfect for research labs and R&D departments.
Bioinformatics
Host genomics pipelines, biological analysis tools, and custom bioinformatics packages privately within your organization.
Quantitative Finance
Secure distribution of trading algorithms, risk models, and financial analysis tools with enterprise-grade security.
Save 60% or More vs. Anaconda.org
Transparent pricing with no hidden fees. See exactly how much you'll save.
| Feature | CloudRepo | Anaconda.org (Paid) |
|---|---|---|
| Private Package Hosting | ✓ Unlimited | ✓ Limited by plan |
| Monthly Cost (50GB) | $99 | $250+ |
| Egress/Download Fees | None | Metered charges |
| PyPI Package Support | ✓ Native | ✓ Via pip |
| Conda Channel Support | Coming Soon | ✓ Native |
| Support Included | ✓ All plans | Enterprise only |
| Setup Time | < 5 minutes | Hours/Days |
| API & Automation | ✓ Full REST API | ✓ Limited |
Calculate Your Savings
Works with Your Entire Data Science Stack
CloudRepo integrates seamlessly with the tools your team already uses.
Example: GitHub Actions CI/CD with Conda + CloudRepo
name: Test and Deploy
on: [push]
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- uses: conda-incubator/setup-miniconda@v2
with:
python-version: 3.11
- name: Configure CloudRepo
run: |
pip config set global.index-url \
https://${{ secrets.CLOUDREPO_TOKEN }}@myorg.mycloudrepo.io/repositories/ml-packages/simple
- name: Install dependencies
run: |
conda install numpy pandas scikit-learn
pip install our-ml-model our-data-utils
- name: Run tests
run: pytestFrequently Asked Questions
Can I use CloudRepo with conda today?
Yes! CloudRepo's PyPI repositories work perfectly with pip inside conda environments. This covers most use cases since conda users commonly use pip for packages not available in conda channels.
When will native conda channel support be available?
Native conda channel support is on our roadmap and coming soon. When launched, it will be available to all CloudRepo customers at no additional cost. Your existing PyPI packages will continue to work alongside native conda packages.
How does CloudRepo compare to Anaconda.org for private packages?
CloudRepo offers significant cost savings (60%+ typically) with no egress fees, simpler pricing, and included support on all plans. While Anaconda.org has native conda support today, most teams find CloudRepo's PyPI support sufficient for their private package needs.
Can I migrate from Anaconda.org to CloudRepo?
Yes! Python packages can be easily migrated to CloudRepo. Simply upload your packages to CloudRepo and update your pip configuration. Our support team can assist with migration planning.
Do you charge for package downloads?
No! Unlike many competitors, CloudRepo has no egress fees. You can download your packages as many times as needed without additional charges. We believe in predictable, transparent pricing.
Start Hosting Private Packages for Conda Today
14-day free trial. No credit card required. Full PyPI support for conda environments available immediately.