GDAL
18
Reviews
4.6
Star rating
#35
Rank in Component Libraries
Pros and cons
Pros
Cons
Traffic & LLM citations
Source: G2 review data
Key stats
—
72
Small Business
1
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 44.4% |
| Mid-Market | 38.9% |
| Enterprise | 16.7% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|
Satisfaction ratings
Ease of Use8.4
Ease of Setup6.4
Quality of Support8.4
Meets Requirements9.0
What reviewers say
The best library you should go if you planing to work on geospatial data
5.0
“The inbuilt function are the best for calculating metrics. The mutiple projections and raster support.”
Gdal is one of the best open source software to work with raster and vector data.
5.0
“It helps me to read, write and manipulate the vector and raster data. It supports all the OCG standard GIS files.”
Very good for remote sensing satellite analytics projects
5.0
“GDAL's raster image processing libraries helped me to develop satellite analytics tools. especially Its raster cropping, raster value extraction, and mosaicing packages available in python language are very helpful.”