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PIMS

Python Image Sequence

With conditionsPyPI Information AnalysisReleased Jun 2024184.6K downloads / moBSD-3-clauseSource build

Decision gist · record as of 2026-08-14

sdist only — pims-0.7.tar.gz · builds from source
v0.7 · released 2024-06-10 · Python >=3.7 · 5 runtime deps: imageio, numpy, packaging, slicerator, tifffile

Yes, if you work with scientific video or microscopy images in multiple formats and want to avoid format-specific boilerplate. The aging maintenance status (last release 795 days ago) and high install friction mean it's best for established workflows where the dependency chain is already stable. No known vulnerabilities. Not recommended for new projects unless you specifically need multi-format support.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires numpy and imageio; optional support for additional formats (ffmpeg, Bio-formats, Nikon .nd2) needs separate installation.
  • High install friction due to five runtime dependencies including imageio, numpy, and tifffile.
  • Maintenance is aging—last release was 795 days ago (June 2024), though the repository remains active with a recent commit in March 2025.

License · maintenance · safety

BSD-3-clause (permissive) — BSD-3-clause permissive license allows commercial and private use with minimal restrictions, requiring only license and copyright notice retention.

last release 2024-06-10 (795 days) · last repo commit 2025-03-31 · 275 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 184,643 downloads/mo, #10,028 on PyPI

Verify before relying

pip install pims
import pims
frames = pims.open('video.avi')
for frame in frames:
    print(frame.shape)
  • Whether Bio-formats and ffmpeg optional dependencies are straightforward to install on common systems
  • Current state of support for modern microscope formats beyond those listed in the description
Same gist for agents: .md · .json

What it is and what it does

PIMS abstracts away the complexity of reading scientific video and image data in many different formats. Instead of learning separate libraries for AVI files, TIFF stacks, Nikon microscope images, and numbered image sequences, you use a single consistent interface. It handles the format detection, loading, and frame access transparently, letting you focus on your image analysis rather than file I/O plumbing.

The package is built on top of established libraries like imageio, numpy, tifffile, and optional integrations with ffmpeg and Bio-formats. It supports video formats (AVI, MOV, MP4), image stacks (TIFF, JPEG, PNG), microscope vendor formats (Leica, Nikon, Olympus, Zeiss), and specialized camera formats (CINE, SEQ). You can slice frames, iterate in bulk, access specific ranges, and work with multidimensional data using the same API regardless of source.

Use it for

  • Load and iterate through frames from a microscopy experiment stored as a TIFF stack or vendor-specific format without learning format-specific APIs.
  • Process video files (AVI, MOV, MP4) frame-by-frame in a scientific analysis pipeline using a consistent interface.
  • Build batch image processing workflows that accept multiple input formats and automatically detect and read them.
  • Access specific frame ranges or multidimensional slices from large image sequences without loading entire files into memory.
  • Prototype image analysis code that needs to work with both video files and numbered image directories interchangeably.

Worth the install?

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

With conditions

Yes, if you work with scientific video or microscopy images in multiple formats and want to avoid format-specific boilerplate.

The aging maintenance status (last release 795 days ago) and high install friction mean it's best for established workflows where the dependency chain is already stable. No known vulnerabilities. Not recommended for new projects unless you specifically need multi-format support.

Install

pims on PyPI

Before you install

High install friction due to five runtime dependencies including imageio, numpy, and tifffile. Maintenance is aging—last release was 795 days ago (June 2024), though the repository remains active with a recent commit in March 2025. Suitable for established workflows rather than new projects.

Requires numpy and imageio; optional support for additional formats (ffmpeg, Bio-formats, Nikon .nd2) needs separate installation.

License in practice

BSD-3-clause permissive license allows commercial and private use with minimal restrictions, requiring only license and copyright notice retention.

Quickstart

pip install pims
import pims
frames = pims.open('video.avi')
for frame in frames:
    print(frame.shape)

Verify before relying

  • Whether Bio-formats and ffmpeg optional dependencies are straightforward to install on common systems
  • Current state of support for modern microscope formats beyond those listed in the description

Package facts

LicenseBSD-3-clause permissive
Python supportSupports the current Python release >=3.7
Install frictionHigh. Source build required
Runtime dependencies
5 packages
imageionumpypackagingsliceratortifffile
MaintenanceAging 795 days since the last release
Last repo commit
First released
Downloads184,643 / month, #10,028 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 4 - BetaProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9

Evidence: pims-0.7.tar.gz

Tags

Capabilities
read video frames pythonimage sequence loaderscientific microscopy imagestiff stack readervideo file interfaceframe iteration librarymulti-format image reader
Topics
microscopyvideo-processingimage-io

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See also imageio-ffmpeg · ImageIO · tifffile · mediapy · imagesize · large-image · OpenImageIO · crewai-files · Fileseq · ome-types