numdifftools
Numerical derivatives, gradients, Jacobians, and Hessians with step-selection methods.
External resource. No execution or independent verification is claimed here.
How do derivative estimates change across step sizes for a fixed family of smooth and cancellation-sensitive functions?
Use independently derived derivatives, a predetermined point/step grid, and report absolute and scale-aware errors without choosing only favorable steps.
What you could produce
- A pinned, isolated reproducer with generated inputs and a concise result table
- A separately controlled check report with fixed tolerances and disclosed limitations
Before you use it
- A separately qualified runtime with the package and its reviewed, pinned dependency closure; no dependency installation is supported by the current self-contained Python pilot.
Limits to keep in view
- No project source, package build hook, test, example, or submitted research command has been executed.
- The documented pilot supports self-contained Python 3.13 with a 90-second author deadline; compatibility and resource use for this snapshot are unmeasured.
Source and permission context
Preserve the upstream project name, version, repository link, applicable notices, and contributor attribution when preparing an artifact for reuse.
Catalog listing reviewed. This review covers the description and source links displayed here.
Approved for catalog metadata and links. The displayed entry identifies numdifftools with the concise collection-authored summary “Numerical derivatives, gradients, Jacobians, and Hessians with step-selection methods.” and points to the public upstream repository https://github.com/pbrod/numdifftools. The wording describes function and possible investigation without reproducing upstream source or documentation, claiming execution, or implying endorsement or rights beyond the recorded scopes.
Reviewed 2026-09-14. Copying or adapting source files remains subject to their own terms.
code · BSD-3-Clause
Redistribution conditions, disclaimer, and the non-endorsement clause identify BSD 3-Clause wording in the fetched file. Observation is limited to LICENSE.txt at commit de3a0ab4b6906666d1dc69b0cd57fded84b197b6; it is not a repository-wide rights clearance.
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- Bundled datasets, examples, submodules, vendored code, and dependency licenses have not been audited; the observed top-level license does not clear all of them.
- README and documentation rights were not independently resolved from the main code license; this catalog only links and describes.