{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/7"},{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/3"}],"enrichment":{"capability":"Read-only API for querying experiment metadata, runs, metrics, and attributes with filtering and export to pandas DataFrames.","skillfed_tags":["mlops","experiment-tracking","data-export"],"use_cases":["Export experiment metadata and metrics to pandas DataFrames for offline analysis or reporting.","Programmatically filter and retrieve runs matching specific criteria using the filters module.","Download files logged during experiments for post-hoc inspection or model evaluation.","Query individual runs by ID instead of experiment names for fine-grained data access.","Build automated pipelines that fetch data for integration with other tools."],"what_it_does":"neptune_query is a read-only Python client that retrieves experiment metadata, run information, metrics, and logged attributes. It provides functions to list experiments and runs, fetch metadata as pandas DataFrames, download files, and define filters to query specific subsets of data. The package depends on httpx for HTTP requests, pandas for tabular output, protobuf for serialization, PyJWT for authentication, attrs, azure-storage-blob, python-dateutil, and tqdm.\n\nThe package is designed for data scientists and ML engineers who need to programmatically access project data for analysis, reporting, or downstream processing. It supports both experiment-level and individual run-level queries, with filtering capabilities based on attributes like ownership, archival status, and metric thresholds. However, the repository is archived and abandoned, with no commits since 2026-04-20, meaning no active maintenance or support is available.","worth_installing":"Yes, if you need read-only programmatic access to experiment data and can tolerate the abandoned maintenance status. Low install friction and permissive Apache 2.0 license make integration straightforward. However, no bug fixes or compatibility updates are forthcoming\u2014install only if your use case is stable and unlikely to require updates, or if you can manage potential breakage with future Python or API changes."},"id":"neptune-query","links":{"html":"https://skillfed.io/packages/neptune-query","md":"https://skillfed.io/packages/neptune-query.md","pypi":"https://pypi.org/project/neptune-query/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2026-04-07","license_spdx":null,"license_treatment":"permissive","name":"neptune-query","python_support":"supports_current","summary":"Neptune Query is a Python library for retrieving data from Neptune."},"popularity":{"monthly_downloads":1400191,"position":3952,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.14.1"}