whisper
Fixed size round-robin style database
Decision gist · record as of 2026-08-14
No, not recommended for new projects. While Whisper is a stable, dependency-free time-series database, it is abandoned with no maintenance since 2022-05-22 and no active development. Existing Graphite installations may continue to use it, but new deployments should consider maintained alternatives. Security issues and Python version incompatibilities are unlikely to be addressed.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- No external runtime dependencies, but the package is abandoned and may have compatibility issues with Python versions beyond those listed in classifiers (3.7).
- Installation friction is high.
- The package is abandoned with no recent maintenance, though it remains in the top 15000 by downloads.
License · maintenance · safety
Apache Software License 2.0 (permissive) — Licensed under Apache Software License 2.0, a permissive license that allows commercial and private use with minimal restrictions, making it safe for most projects from a licensing standpoint.
last release 2022-05-22 (1545 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 547,681 downloads/mo, #6,067 on PyPI
Alternatives
Verify before relying
pip install whisper
from whisper import create, update, fetch
create('/path/to/metric.wsp', [(60, 1440)])
update('/path/to/metric.wsp', value, timestamp)
from_time, until_time, step, values = fetch('/path/to/metric.wsp', from_time)- Whether the package works reliably on Python versions beyond 3.7 despite classifier claims.
- Current state of compatibility with modern operating systems and file systems.
- Whether the Graphite project has superseded or replaced Whisper with a maintained alternative.
What it is and what it does
Whisper is a standalone time-series database library designed to store numeric metrics efficiently in a fixed-size file format, similar to RRD (round-robin-database). It is part of the Graphite monitoring ecosystem but can be used independently. The library supports multiple archive definitions, allowing recent data to be stored at high resolution while older data automatically rolls up into lower-resolution archives for long-term retention without unbounded disk growth.
The package provides a command-line toolkit for database operations: creating whisper files with custom retention policies, updating them with timestamped values, fetching and dumping data, resizing archives, merging files, and inspecting metadata. It has no external runtime dependencies, making it lightweight to integrate into monitoring pipelines or custom metric collection systems. However, the project is abandoned with the last release on 2022-05-22, meaning no active maintenance, security updates, or compatibility work for modern Python versions.
Use it for
- Store application or infrastructure metrics in a fixed-size database for a monitoring system without external dependencies.
- Migrate existing RRD-based metric storage to Whisper format using the rrd2whisper.py conversion tool.
- Build a custom time-series backend that degrades data resolution over time to control storage footprint.
- Query and export historical metrics from Whisper files for analysis or reporting via whisper-fetch.py.
- Merge or fill gaps in metric data across multiple Whisper files during data recovery or consolidation.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No, not recommended for new projects.
While Whisper is a stable, dependency-free time-series database, it is abandoned with no maintenance since 2022-05-22 and no active development. Existing Graphite installations may continue to use it, but new deployments should consider maintained alternatives. Security issues and Python version incompatibilities are unlikely to be addressed.
Install
whisper on PyPI
Before you install
Installation friction is high. The package is abandoned with no recent maintenance, though it remains in the top 15000 by downloads. No runtime dependencies simplifies installation, but the lack of active maintenance means security updates and bug fixes are unlikely.
No external runtime dependencies, but the package is abandoned and may have compatibility issues with Python versions beyond those listed in classifiers (3.7).
License in practice
Licensed under Apache Software License 2.0, a permissive license that allows commercial and private use with minimal restrictions, making it safe for most projects from a licensing standpoint.
Quickstart
pip install whisper
from whisper import create, update, fetch
create('/path/to/metric.wsp', [(60, 1440)])
update('/path/to/metric.wsp', value, timestamp)
from_time, until_time, step, values = fetch('/path/to/metric.wsp', from_time)Verify before relying
- Whether the package works reliably on Python versions beyond 3.7 despite classifier claims.
- Current state of compatibility with modern operating systems and file systems.
- Whether the Graphite project has superseded or replaced Whisper with a maintained alternative.
Package facts
| License | Apache Software License 2.0 permissive |
| Python support | Not specified |
| Install friction | High. Source build required |
| Runtime dependencies | None |
| Maintenance | Abandoned 1,545 days since the last release |
| First released | |
| Downloads | 547,681 / month, #6,067 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Programming Language :: Python :: 2Programming Language :: Python :: 2.7Programming Language :: Python :: 3Programming Language :: Python :: 3.5Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPy |
Evidence: whisper-1.1.10.tar.gz
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See also graphyte · whisper-timestamped · graphitesend · nanotime · whisperx · openai-whisper · whisper-normalizer · mlx-whisper · faster-whisper · timesfm