HTCondor

license

Apache-2.0(OSI)

source

public(htcondor/htcondor is the product you run)

core features withheld

no — a 5,213-entry recursive tree carries no path matching enterprise, ee, commercial or proprietary

HTCondor is published under Apache-2.0 by an academic research center, with no paid edition. A full scan of the repository tree finds no enterprise, ee or commercial path.

• https://api.github.com/repos/htcondor/htcondor/git/trees/main?recursive=1 recorded 2026-09-16

  Full untruncated recursive tree of the default branch, 5,213 entries. Licenses are the root LICENSE and vendored dependencies. No path matches enterprise, ee, commercial or proprietary. A tree lists paths; it is cited for that and for nothing about the vendor's offerings.

• https://github.com/htcondor/htcondor recorded 2026-09-16

  Repository page for htcondor/htcondor: Apache-2.0 license, public and unarchived, described as the HTCondor source repository. Establishes the license and that the source is public.

• https://htcondor.org/ recorded 2026-09-16

  HTCondor's own project site, run by the Center for High Throughput Computing at the University of Wisconsin-Madison. An academic project with no commercial edition positioned to withhold functionality from the published source.

Adoption is measured as PyPI downloads of the htcondor Python bindings package in the trailing month. The bindings are a declared artifact that covers this product and no other, so the measurement is attributed to HTCondor rather than treated as a subset of a larger population.

• https://pypistats.org/api/packages/htcondor/recent recorded 2026-09-16

  Trailing-window download counts for the declared PyPI artifact: 28,301 downloads in the trailing month.

HTCondor's own submit language lets a job request and qualify GPUs, and its scheduler matches such jobs to machines that have them. Its parallel universe also reserves a specific number of machines for one job, a multi-machine allocation that puts HTCondor level with NVIDIA Run:ai.

• https://htcondor.readthedocs.io/en/24.0/man-pages/condor_submit.html recorded 2026-09-16

  HTCondor's condor_submit manual page: 'machine_count = <max> For the parallel universe, a single value (max) is required. It is neither a maximum or minimum, but the number of machines to be dedicated toward running the job.' Establishes a multi-machine allocation held for one job.

• https://htcondor.readthedocs.io/en/latest/users-manual/submitting-a-job.html recorded 2026-09-16

  HTCondor's submit documentation on GPUs: 'matching jobs that need GPUs to machines that have them', with request_GPUs = <n> to declare the count and require_gpus, gpus_minimum_capability and gpus_minimum_memory to qualify which GPU. Establishes that the accelerator request is expressed in HTCondor's own schema and consumed by its matchmaking.