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About

Anaconda is an AI-native development platform that helps teams move from experimentation to production with trusted open-source packages, governed environments, and production-grade orchestration. The platform provides a secure foundation for Python, data science, machine learning, and AI development across the full model lifecycle. Anaconda Core helps teams manage complex Python dependencies with validated packages, automated security scanning, and intelligent conflict resolution. The Anaconda Platform supports governed AI development so organizations can reduce broken environments, stalled deployments, and unmanaged open-source risk. Its trusted distribution is used by millions of users, developers, contributors, organizations, and Fortune 500 companies. Built for enterprise AI teams, Anaconda helps organizations accelerate open-source AI innovation while maintaining control, security, and governance.

About

Coder is the AI software development company leading the future of autonomous coding. We empower teams to build software faster, more securely, and at scale through the collaboration of AI coding agents and human developers. Our mission is to make agentic AI a safe, trusted, and integral part of every software development lifecycle. Coder’s self-hosted Cloud Development Environment (CDE) is the foundation for deploying agentic AI in the enterprise. It provides a secure, standardized, and governed workspace to deploy autonomous coding agents alongside human developers, accelerating innovation while maintaining control and compliance. Coder's isolated, policy-driven environments improve productivity, cut cloud costs, and reduce data risks. Developers transition to AI at their own pace using their own tools. Platform and security teams can govern, audit, and manage a great developer experience at scale.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Data science teams, AI engineers, machine learning teams, Python developers, enterprise IT leaders, platform teams, research teams, and organizations that need trusted open-source packages, secure Python environments, dependency management, AI governance, orchestration, and production AI deployment support

Audience

Platform engineers and developers who want to build fast, stay secure, and scale with control by combining AI coding agents and human developers in one trusted workspace.

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Billed annually, per named user.
Free Version Supported
Free Trial Supported

Reviews/Ratings

Overall 4.8 / 5
ease 4.9 / 5
features 4.6 / 5
design 4.6 / 5
support 4.6 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Pros & Cons from Real Users

Pros

  • The best thing I like about the software is that it helps to develop the code for software. It provides the environment for python coding and R programming. Also, this tool gives the easy output generating option where you can easily debug the code if there's any error.
  • If you are a Python developer then you would surely came across Anaconda once in your journey. The pros that I find with Anaconda is the tools it provides. Basically it fulfills all your requirements. Also managing and installing packages is also very simple with anaconda. It is best for Data analysts and Data scientists.
  • You can all sort of the DevOps work with ease and in a single place. It is powerful and very easy to use. It gives you generic options.
  • You can do nearly any ML work via anaconda using python. It supports all kinds of algorithms and helps a lot of plugins to make development seamless.
  • You can do any Python development on Anaconda. You can integrate your project written in Python and use ML tools to develop it accordingly. It is compelling and fully feature-packed.

Cons

  • Nothing is said to be least about this software. It's a best software in the market.
  • The only con that I found was that it is a bit heavy software and turns on my system fan every time I uses it.
  • It is best for development. It has a separate workplace for a particular type of development.
  • It needs a lot of space on your local drive as well as a ram. It has vast applications but could hang if the hardware is not up to mark.
  • It does not work perfectly on a computer with low hardware specification due to the features it has. It is huge in size.

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Company Information

Anaconda
Founded: 2012
United States
www.anaconda.com

Company Information

Coder
Founded: 2016
United States
coder.com

Alternatives

Alternatives

DevPod

DevPod

vCluster
LucenaCoder

LucenaCoder

Lucena.one

Categories

Agentic AI Supported
AI Development Supported
AI Gateways Supported
AI Governance Supported
AI Guardrails Supported
AI Inference Supported
AI Orchestration Supported
AI Security Supported
AI Workspaces Supported
Data Science Supported
Machine Learning Supported

Categories

AI Coding Agents Supported
AI Governance Supported
Data Science Supported
DevSecOps Supported
IDE Supported

Machine Learning Features

Deep Learning Supported
ML Algorithm Library Supported
Model Training Supported
Natural Language Processing (NLP) Supported
Predictive Modeling Supported
Statistical / Mathematical Tools Supported
Templates Supported
Visualization Supported

Integrations

Amazon Web Services (AWS) Supported
Google Cloud Platform Supported
Microsoft Azure Supported
Visual Studio Code Supported
Dask Supported
Domino Enterprise AI Platform Supported
Git Not Supported
GitHub Not Supported
GitLab Not Supported
HashiCorp Vault Not Supported
IBM watsonx.data Supported
JetBrains Projector Not Supported
Jovian Supported
KiloClaw Supported
Kixie PowerCall & SMS Supported
Kubernetes Not Supported
Model Context Protocol (MCP) Supported
NVIDIA RAPIDS Supported
Ona Not Supported
OpenSCAP Supported

Integrations

Amazon Web Services (AWS) Supported
Google Cloud Platform Supported
Microsoft Azure Supported
Visual Studio Code Supported
Dask Not Supported
Domino Enterprise AI Platform Not Supported
Git Supported
GitHub Supported
GitLab Supported
HashiCorp Vault Supported
IBM watsonx.data Not Supported
JetBrains Projector Supported
Jovian Not Supported
KiloClaw Not Supported
Kixie PowerCall & SMS Not Supported
Kubernetes Supported
Model Context Protocol (MCP) Not Supported
NVIDIA RAPIDS Not Supported
Ona Supported
OpenSCAP Not Supported
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