trollsift
String parser/formatter
Decision gist · record as of 2026-08-14
Yes. Trollsift is a stable, lightweight utility with no dependencies, permissive licensing, and active maintenance. Install it if you work with satellite granule data and need to parse, format, or filter filenames according to satellite naming standards. The zero-dependency design makes integration low-risk.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >=3.9
- Low install friction with no runtime dependencies.
- Active maintenance status with a recent release.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions.
last release 2026-06-01 (74 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 82,071 downloads/mo, #14,186 on PyPI
Alternatives
Verify before relying
pip install trollsift
import trollsift
# Parse a satellite granule filename using trollsift's parsing modules- Whether the package handles real-world satellite naming conventions beyond basic pattern matching
- Performance characteristics when filtering large numbers of granule filenames
- Integration points with other pytroll ecosystem packages
What it is and what it does
Trollsift is a utility library for working with satellite granule file names—the standardized naming conventions used to identify and organize satellite data products. It provides parsing, formatting, and filtering capabilities to extract metadata from file names and generate compliant names according to satellite data standards. The package is part of the pytroll ecosystem and targets scientists and engineers working with satellite imagery and remote sensing data.
The library has no external runtime dependencies, making it lightweight to integrate into data processing pipelines. It requires Python >=3.9 and is classified as production-stable. With permissive Apache-2.0 licensing and active maintenance, it is suitable for both research and operational satellite data workflows.
Use it for
- Extract metadata from satellite granule filenames for data cataloging and organization
- Generate standardized satellite product filenames that comply with naming conventions
- Filter collections of satellite data files by pattern to select specific instruments or time periods
- Validate satellite granule filenames against expected naming patterns in data pipelines
- Integrate filename handling into pytroll-based satellite data processing workflows
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Trollsift is a stable, lightweight utility with no dependencies, permissive licensing, and active maintenance. Install it if you work with satellite granule data and need to parse, format, or filter filenames according to satellite naming standards. The zero-dependency design makes integration low-risk.
Install
trollsift on PyPI
Before you install
Low install friction with no runtime dependencies. Active maintenance status with a recent release.
Requires Python >=3.9
License in practice
Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions.
Quickstart
pip install trollsift
import trollsift
# Parse a satellite granule filename using trollsift's parsing modulesVerify before relying
- Whether the package handles real-world satellite naming conventions beyond basic pattern matching
- Performance characteristics when filtering large numbers of granule filenames
- Integration points with other pytroll ecosystem packages
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 74 days since the last release |
| First released | |
| Downloads | 82,071 / month, #14,186 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 :: Science/ResearchOperating System :: OS IndependentProgramming Language :: PythonTopic :: Scientific/EngineeringTyping :: Typed |
Evidence: trollsift-1.0.1-py3-none-any.whl
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See also trollimage · pyorbital · confu · pystac-ext-sat · munge · wheel-filename · stringparser · mkdocs-exclude · gibberish-detector · sanitize-filename