scikit-video
Video processing routines for SciPy.
- Status
- UnmaintainedNo commits in 3741 days.
- Last checked
- Checked · Oct 12, 2026
- License
- Open source
- Pricing
- Free tier · from $0
What it is
Scikit-video provides a set of video processing functions built on top of SciPy. It is useful for developers and researchers who need to perform various operations on video data within Python.
Scikit-video stands out as a lightweight and easy-to-use library for Python developers who need to perform basic to intermediate video processing tasks without the overhead of larger frameworks.
When it fits — and when it doesn’t
A good fit for
Researchers working on video processing tasks who need a Python-based solution
Educators teaching computer vision and video processing in Python
Developers building applications that require frame-by-frame manipulation of videos
Look elsewhere if
Projects requiring real-time video streaming capabilities
Applications needing high-performance, low-latency video processing on large datasets
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Small community and limited support
There are few active contributors and a small user base, leading to slower response times on issues and fewer external resources like tutorials or forums.
- 02
Performance limitations for large-scale video processing
Scikit-video may not be optimized for handling very large videos efficiently, which can lead to slow performance and high memory usage in such scenarios.
What it does well
Video processing routines built on SciPy
Supports various video operations like reading, writing, and manipulating frames
Integrates well with other Python libraries for scientific computing
Pricing
- Free tier
- YesOpen source — free to use
- Paid from
- $0
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up scikit-video
Setup steps, common gotchas and what to check after 30 days.
Get the badge
A small badge for scikit-video’s README or site: its name, “Tracked on AI Navigator”, and the availability status and check month from this page. It updates as the catalog does.
Markdown
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