kt-legacy
Legacy import names for Keras Tuner
Decision gist · record as of 2026-08-14
Yes, but only if you have legacy code that cannot be updated to use `keras_tuner` and you need the old `kerastuner` import name to work. The package is abandoned and unmaintained, so it will not receive bug fixes or updates. For new projects, use the current Keras Tuner package with the `keras_tuner` import instead.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- No runtime dependencies and low install friction, but the package is abandoned—last release was 1220 days ago with no recent activity.
License · maintenance · safety
Apache License 2.0 (permissive) — Licensed under Apache License 2.0 (permissive), so you can use, modify, and distribute it freely with minimal restrictions.
last release 2023-04-12 (1220 days) · last repo commit 2023-04-12 · 2 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 157,998 downloads/mo, #10,739 on PyPI
Alternatives
Verify before relying
pip install kt-legacy
import kerastuner- Whether this package actually re-exports Keras Tuner or merely provides an import shim
- What version(s) of Keras Tuner this package is compatible with
- Whether installing this alongside the current keras_tuner package causes conflicts
What it is and what it does
kt-legacy is a compatibility shim for Keras Tuner that restores the old `kerastuner` import name. The main Keras Tuner repository changed its import name to `keras_tuner`, breaking code that relied on the older `kerastuner` name. This package exists solely to bridge that gap, allowing legacy code to continue importing under the old name without rewriting imports.
It has no runtime dependencies and installs as a pure Python wheel, making it lightweight. However, the package has been abandoned, with no maintenance since its latest release on 2023-04-12. It is a narrow-purpose tool—useful only if you have existing code that cannot be updated to use the new import name.
Use it for
- Maintaining legacy code that imports Keras Tuner as `kerastuner` without refactoring imports
- Running older hyperparameter tuning scripts that depend on the deprecated import name
- Bridging a temporary gap during migration from old to new Keras Tuner import conventions
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, but only if you have legacy code that cannot be updated to use `keras_tuner` and you need the old `kerastuner` import name to work.
The package is abandoned and unmaintained, so it will not receive bug fixes or updates. For new projects, use the current Keras Tuner package with the `keras_tuner` import instead.
Install
kt-legacy on PyPI
Before you install
No runtime dependencies and low install friction, but the package is abandoned—last release was 1220 days ago with no recent activity.
License in practice
Licensed under Apache License 2.0 (permissive), so you can use, modify, and distribute it freely with minimal restrictions.
Quickstart
pip install kt-legacy
import kerastunerVerify before relying
- Whether this package actually re-exports Keras Tuner or merely provides an import shim
- What version(s) of Keras Tuner this package is compatible with
- Whether installing this alongside the current keras_tuner package causes conflicts
Package facts
| License | Apache License 2.0 permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Abandoned 1,220 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 157,998 / month, #10,739 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: kt_legacy-1.0.5-py3-none-any.whl
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See also keras-tuner · huggingface · tf-keras · Keras-Preprocessing · packaging-legacy · scikeras · tf-keras-nightly · keras-hub · rsa · daytona_sdk