Distribution
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- Easily search and install thousands of data science, machine learning, and AI packages
- Manage packages and environments from a desktop application or work from the command line
- Deploy across hardware and software platforms
- Distribution installation on Windows, MacOS, or Linux
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Environments with Ease
Spend more time developing and less time managing package updates and dependencies
Open Source
Access the open-source software you need for projects in any field, from data visualization to robotics.
User-friendly
With our intuitive platform, you can easily search and install packages and create, load, and switch between environments.
Trusted
Our securely hosted packages and artifacts are methodically tested and regularly updated.
Powered by the Most Recommended and Trusted Open-Source Packages
Data Exploration and Transformation
- Numpy
- pandas
- Jupyter
- Intake
- Dask
Visualization
- Matplotlib
- seaborn
- Plotly
- Bokey
- HoloViews
AI and Machine Learning
- scikit-learn
- TensorFlow
- Keras
- PyTorch
- XGBoost
Natural Language Processing
- NLTK
- Gensim
- Transformers
- SpaCy
GUI and Front-End Development
- Flask
- CherryPy
- Streamlit
- Panel
R Packages
- ggplot2
- dplyr
- tidyr
- readr
Discover More
Millions of developers and data scientists research, innovate, and discover using Anaconda Distribution
Repository
Over 8,000 open-source data science and machine learning packages, Anaconda-built and compiled for all major operating systems and architectures.
Conda
Open-source package and environment management system that runs on Windows, macOS, and Linux. Install, run, and update packages and their dependencies.
Navigator
Desktop application lets you easily manage integrated applications, packages, and environments without using the command line.
Cloud Environment Backup
Connect Anaconda Navigator to our community portal to securely store your local environments in the cloud.
Miniconda Installer
Miniconda is a free minimal installer for conda. It is a small bootstrap version of Anaconda that includes only conda, Python, the packages they both depend on, and a small number of other useful packages (like pip, zlib, and a few others).