cogserver | Expose a GDAL file as a HTTP accessible on-the-fly COG
kandi X-RAY | cogserver Summary
kandi X-RAY | cogserver Summary
cogserver is a Python library. cogserver has no bugs, it has no vulnerabilities and it has low support. However cogserver build file is not available. You can download it from GitHub.
Expose any GDAL recognized raster file as a HTTP accessible on-the-fly COG (Cloud Optimized GeoTIFF). The on-the-fly COG file is not materialized to disk, can be of arbitrary size with little RAM consumption and can be accessed in a piecewise way with HTTP GET Range header. What remains to be implemented: - expose metadata in GDAL_METADATA tag - allow compression - expose overviews when they exist.
Expose any GDAL recognized raster file as a HTTP accessible on-the-fly COG (Cloud Optimized GeoTIFF). The on-the-fly COG file is not materialized to disk, can be of arbitrary size with little RAM consumption and can be accessed in a piecewise way with HTTP GET Range header. What remains to be implemented: - expose metadata in GDAL_METADATA tag - allow compression - expose overviews when they exist.
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Quality
Security
License
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Support
cogserver has a low active ecosystem.
It has 66 star(s) with 4 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
cogserver has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of cogserver is current.
Quality
cogserver has no bugs reported.
Security
cogserver has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
cogserver does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
cogserver releases are not available. You will need to build from source code and install.
cogserver has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed cogserver and discovered the below as its top functions. This is intended to give you an instant insight into cogserver implemented functionality, and help decide if they suit your requirements.
- Handle GET requests
- Generate TIFF header
- Generate a TIFF file
- Read tile data
- Write a tag
- Generate tileoffsets
- Generate tile byte counts
- Handler for HTTP HEAD requests
- Returns the size of the image
- Calculate the offset of the tile
- Calculate the size of the header without tag data
- Return the file size in bytes
- The tilesize
- Argument parser
Get all kandi verified functions for this library.
cogserver Key Features
No Key Features are available at this moment for cogserver.
cogserver Examples and Code Snippets
No Code Snippets are available at this moment for cogserver.
Community Discussions
No Community Discussions are available at this moment for cogserver.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install cogserver
You can download it from GitHub.
You can use cogserver like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use cogserver like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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