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neptune-fetcher

Neptune Fetcher (DEPRECATED - use neptune-query instead)

SkipPyPI Python ModulesReleased Sep 20252.4M downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — neptune_fetcher-0.23.0-py3-none-any.whl
v0.23.0 · released 2025-09-18 · Python <4.0,>=3.9 · 4 runtime deps: azure-storage-blob, neptune-api, pandas, tqdm

No. This package is deprecated and explicitly superseded by neptune-query. The maintainers recommend uninstalling it immediately and migrating to neptune-query (1.0.0+). Do not use for new projects; only retain if maintaining legacy code that cannot yet be migrated.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires NEPTUNE_API_TOKEN and NEPTUNE_PROJECT environment variables to be set, or passed via context in code.
  • Low install friction with four straightforward runtime dependencies.
  • However, the package is marked as aging with no release in 330 days and classified as Inactive (Development Status 7).

License · maintenance · safety

Apache-2.0 (permissive) — Licensed under Apache License 2.0 (permissive), which allows commercial use, modification, and distribution with minimal restrictions—suitable for most projects.

last release 2025-09-18 (330 days) · last repo commit 2026-01-16 · 6 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,357,750 downloads/mo, #3,105 on PyPI

Verify before relying

pip install neptune-fetcher

import neptune_fetcher.alpha as npt

npt.fetch_experiments_table(
    experiments=["exp_ergwq"],
    attributes=["metrics/train_accuracy"]
)
  • Whether neptune-query is a true drop-in replacement or requires significant code changes beyond the migration guide.
  • Current state of the neptune-api dependency and whether it remains actively maintained.
Same gist for agents: .md · .json

What it is and what it does

Neptune Fetcher is a read-only API client for retrieving experiment metadata, run data, and logged attributes from Neptune ML tracking projects. It converts query results into pandas DataFrames, making it easy to analyze experiment outcomes, compare runs, and extract metrics for downstream analysis. The package depends on azure-storage-blob, neptune-api, pandas, and tqdm to handle data retrieval and presentation.

However, this package is deprecated and no longer actively maintained. The maintainers explicitly recommend uninstalling it and migrating to neptune-query instead. The package has not been released in over 330 days and is classified as Inactive. Unless you are maintaining legacy code, you should use neptune-query for new projects.

Use it for

  • Export experiment metrics and metadata from Neptune into a pandas DataFrame for offline analysis or reporting.
  • Query multiple runs by ID or regex pattern to compare their logged attributes and performance metrics.
  • Fetch time-series metric data (e.g., validation accuracy at each training step) for visualization or post-hoc analysis.
  • Build read-only dashboards or reports that pull the latest experiment results from a Neptune project.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Skip

No.

This package is deprecated and explicitly superseded by neptune-query. The maintainers recommend uninstalling it immediately and migrating to neptune-query (1.0.0+). Do not use for new projects; only retain if maintaining legacy code that cannot yet be migrated.

Install

neptune-fetcher on PyPI

Before you install

Low install friction with four straightforward runtime dependencies. However, the package is marked as aging with no release in 330 days and classified as Inactive (Development Status 7). The maintainers explicitly recommend migrating to neptune-query instead.

Requires NEPTUNE_API_TOKEN and NEPTUNE_PROJECT environment variables to be set, or passed via context in code.

License in practice

Licensed under Apache License 2.0 (permissive), which allows commercial use, modification, and distribution with minimal restrictions—suitable for most projects.

Quickstart

pip install neptune-fetcher

import neptune_fetcher.alpha as npt

npt.fetch_experiments_table(
    experiments=["exp_ergwq"],
    attributes=["metrics/train_accuracy"]
)

Verify before relying

  • Whether neptune-query is a true drop-in replacement or requires significant code changes beyond the migration guide.
  • Current state of the neptune-api dependency and whether it remains actively maintained.

Package facts

LicenseApache-2.0 permissive
Python supportSupports the current Python release <4.0,>=3.9
Install frictionLow. Pure-Python wheel
Runtime dependencies
4 packages
azure-storage-blobneptune-apipandastqdm
MaintenanceAging 330 days since the last release
Last repo commit
First released
Downloads2,357,750 / month, #3,105 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 7 - InactiveEnvironment :: ConsoleIntended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: OSI Approved :: Apache Software LicenseNatural Language :: EnglishOperating System :: MacOSOperating System :: Microsoft :: WindowsOperating System :: POSIXOperating System :: UnixProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.9Programming Language :: Python :: Implementation :: CPythonTopic :: Scientific/Engineering :: Artificial IntelligenceTopic :: Software Development :: Libraries :: Python Modules

Evidence: neptune_fetcher-0.23.0-py3-none-any.whl

Tags

Capabilities
neptune experiment metadata fetchingml experiment tracking data exportquery neptune runs and metricsfetch ml experiment resultsneptune api read-only clientexperiment metadata as dataframe
Topics
deprecatedmlops-legacy
PyPI keywords
MLOpsML Experiment TrackingML Model RegistryML Model StoreML Metadata Store

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See also neptune-query · neptune · neptune-scale · neptune-api · getdaft · sagemaker-experiments · comet-ml · bigframes · ucimlrepo · dvc-studio-client