tf-estimator-nightly
TensorFlow Estimator.
Decision gist · record as of 2026-08-14
No. This is an abandoned nightly build from January 2024 with no maintenance or security updates for 933 days. The repository is archived and issues are not tracked separately. For new projects, use the current TensorFlow package. For legacy code, only install if you are pinned to this exact version and cannot upgrade.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.7 or later.
- This package is typically installed as part of the main TensorFlow distribution.
- Low install friction with a pure-Python wheel distribution.
License · maintenance · safety
Apache 2.0 (permissive) — Licensed under Apache 2.0 (permissive), which allows commercial and private use with minimal restrictions. No licensing barrier to adoption.
last release 2024-01-24 (933 days) · last repo commit 2024-01-23 · 297 stars · archived
0 known vulnerabilities (OSV.dev, 2026-08-14) · 84,396 downloads/mo, #14,000 on PyPI
Alternatives
Verify before relying
pip install tf-estimator-nightly
from tensorflow_estimator import estimator
# Create and train an estimator
model = estimator.LinearClassifier(feature_columns=features)- Whether this nightly build is compatible with current versions or if it is obsolete.
- Whether the abandoned repository status means security patches are no longer available.
- What the actual runtime dependencies are (the fact sheet lists none).
- Whether this package can be installed and used independently or only as part of TensorFlow.
What it is and what it does
TensorFlow Estimator is a high-level API that simplifies machine learning workflows by encapsulating training, evaluation, prediction, and model export into a unified interface. It abstracts away much of the boilerplate code needed to build and deploy models, making it easier for developers to focus on model architecture and data rather than infrastructure.
This is a nightly build from January 2024 of a package that is no longer actively maintained. The repository has been archived, and no new releases have been published in 933 days. While the package itself is permissively licensed, its abandoned status means it will not receive bug fixes, security updates, or compatibility patches. It should be used only if you are maintaining legacy code that depends on this specific version.
Use it for
- Training and evaluating classification or regression models with a simplified, high-level API.
- Exporting trained models for production deployment without writing custom serving code.
- Building machine learning pipelines where the model lifecycle is managed uniformly.
- Prototyping machine learning solutions quickly without managing low-level operations.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No.
This is an abandoned nightly build from January 2024 with no maintenance or security updates for 933 days. The repository is archived and issues are not tracked separately. For new projects, use the current TensorFlow package. For legacy code, only install if you are pinned to this exact version and cannot upgrade.
Install
tf-estimator-nightly on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. However, the package is abandoned—the repository was archived after its last commit on 2024-01-23, and no releases have occurred in 933 days. This is a nightly build from early 2024 and should not be used for new projects.
Requires Python 3.7 or later. This package is typically installed as part of the main TensorFlow distribution.
License in practice
Licensed under Apache 2.0 (permissive), which allows commercial and private use with minimal restrictions. No licensing barrier to adoption.
Quickstart
pip install tf-estimator-nightly
from tensorflow_estimator import estimator
# Create and train an estimator
model = estimator.LinearClassifier(feature_columns=features)Verify before relying
- Whether this nightly build is compatible with current versions or if it is obsolete.
- Whether the abandoned repository status means security patches are no longer available.
- What the actual runtime dependencies are (the fact sheet lists none).
- Whether this package can be installed and used independently or only as part of TensorFlow.
Package facts
| License | Apache 2.0 permissive |
| Python support | Supports the current Python release >=3.7 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Abandoned 933 days since the last release |
| Last repo commit | repository archived |
| First released | |
| Downloads | 84,396 / month, #14,000 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: EducationIntended Audience :: Science/ResearchLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Scientific/EngineeringTopic :: Scientific/Engineering :: Artificial IntelligenceTopic :: Scientific/Engineering :: MathematicsTopic :: Software DevelopmentTopic :: Software Development :: LibrariesTopic :: Software Development :: Libraries :: Python Modules |
Evidence: tf_estimator_nightly-2.16.0.dev2024012409-py2.py3-none-any.whl
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See also tensorflow-estimator · tfp-nightly · tb-nightly · tensorflow-probability · tf-models-nightly · tf-keras-nightly · tensorflow-model-optimization · tensorflow-decision-forests · tensorflow-recommenders · tensorflowjs