BenchRank
#32 in AI Development PlatformsUpdated 2026-08

Anaconda

by Anaconda · Python package management, notebooks and governance for data science teams

BenchRank score

51.4 — BenchRank score out of 100

Screenshots of Anaconda

Homepage · Anaconda

Homepage of Anaconda

Overview

Anaconda is a platform for Python data science and AI work, combining package management (Anaconda Core), browser-based notebooks and cloud storage. Paid tiers add vulnerability scanning, CVE visibility, policy filters, audit trails and single sign-on. Custom plans add self-hosted or private-cloud deployment and AI orchestration for building and running workflows.

Best for
Python data science and ML teams needing governed packages, notebooks and security controls
Pricing
Free tier, then $15 per user/month (Starter) and $50 per user/month (Business), with Custom plans quoted by sales.
Runs on
WebSelf-hostedCLI

Strengths and trade-offs

Strengths

  • Free tier covers package management, notebooks and 5GB storage
  • Published per-seat prices: $15 and $50 per user/month
  • Business adds vulnerability scanning, audit trails and SSO
  • ISO 27001 and SOC 2 Type 2 certified

Trade-offs

  • Organisations with 200+ staff must buy a paid Business licence
  • Starter and Business capped at 15 seats; 16+ requires contact sales
  • Self-hosting and air-gap need the Custom plan or a paid add-on
  • Daily caps on compute seconds, AI assistant chats and published apps

Pricing

Published plans and prices from Anaconda’s own pricing page.

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

  • MCP support

    Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.

  • Documentation

    Publicly reachable docs — coverage, freshness, code samples and machine readability.

  • Agent friendliness

    How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.

  • Pricing transparency

    Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.

  • Changelog

    A public, dated record of what shipped and when — the clearest signal that a product is still alive.

  • Marketing site structure

    Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.

  • Page speed

    How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.

  • Operational trust

    Status page and incident history, security disclosure, compliance and data-processing documentation.

Measured, but not part of the score

Useful to know, but not a mark for or against the product — so these do not affect the ranking.

  • Openness

    Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.

  • Maintenance

    Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.

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Where this comes from

The Anaconda pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.

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