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ActiveState Platform vs conda-lock

ActiveState Platform

docs.activestate.com

conda-lock

conda.github.io

Side by side

FigureActiveState Platformconda-lock
Price fromFreeFree
Free planYesYes
Free trialYes—
Open source——
WebYes—
WindowsYesYes
macOSYesYes
LinuxYesYes
APIYes—
Plans published21
Spec score · Python Package Managers9.1 (#1)8.0 (#9)
PurposeThe Platform hosts custom runtimes whose projects define runtime components, track project history, and provide deployment instructions.conda-lock is a lightweight library for generating fully reproducible lockfiles for conda environments.

Plans

ActiveState Platform

  • Free organizationFree
  • Paid organizationPriced on request

ActiveState Platform pricing →

conda-lock

  • Free and open sourceFree

conda-lock pricing →

In their own words

ActiveState Platform

ActiveState Platform hosts custom runtimes assembled from source. Projects specify runtime components, preserve project history and provide deployment instructions; their artifacts may include packages, dependencies, patches and bundles, but not contributors’ first-party code. Create projects in the web interface or with the State Tool CLI, then deploy and activate them locally. Projects can remain personal, be shared with an organization or be public. The platform supports Windows, macOS and Linux deployments, and its GraphQL API can build open-source software for different operating systems and languages without requiring users to manage build infrastructure. It provides immutable SBOMs in SPDX formats and describes build safeguards including reproducible builds, checksum checks and isolated containers. A free organization plan costs nothing and is limited to public projects. Curated Catalog annual pricing is $25,000 for fewer than 100 employees, $50,000 for 100–999 employees and $150,000 for 1,000 or more; those prices do not apply to legacy Platform subscriptions.

Visit docs.activestate.com

conda-lock

conda-lock is a lightweight library for producing reproducible lockfiles for conda environments. It solves dependencies separately for each target platform, allowing installations from generated lockfiles to avoid running the conda solver. Inputs can come from environment.yml, conda-build meta.yaml, or pyproject.toml dependency specifications. Its default unified lockfile covers multiple platforms and can be rendered into other lockfile formats. Documented target examples include Linux, macOS, Windows, and additional Linux architectures. The project describes use alongside conda, mamba, pip, Docker, and pixi, and provides installation routes through pip, conda, and mamba; pipx or condax are recommended for isolated installation. Mixed conda-and-pip locking is experimental. Channel access supports token or basic authentication, with environment-variable substitution for credentials. The unified lockfile can omit raw credential-bearing channel URLs when it matches credential portions to environment variables, although rendered explicit lockfiles may contain substituted variables. Private pip repository support is limited to legacy PyPI repositories using basic authentication. The software is MIT-licensed and free.

Visit conda.github.io