diskover | File system crawler , disk space usage
kandi X-RAY | diskover Summary
kandi X-RAY | diskover Summary
diskover is a Python library. diskover has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.
diskover is an open source file system crawler and disk space usage software that uses Elasticsearch to index and manage data across heterogeneous storage systems. Using diskover, you are able to more effectively search and organize files and system administrators are able to manage storage infrastructure, efficiently provision storage, monitor and report on storage use, and effectively make decisions about new infrastructure purchases. As the amount of file data generated by businesses continues to expand, the stress on expensive storage infrastructure, users and system administrators, and IT budgets continues to grow. Using diskover, users can identify old and unused files and give better insights into data change, file duplication and wasted space. diskover supports crawling local file-systems, crawling NFS/SMB, through TCP sockets using the Tree Walk Client or using http with the Storage Agent. Importing Amazon S3 inventory files is also supported. Plugins can be used for adding additional meta data. diskover is written and maintained by Shirosaidev and runs on Linux, OS X/macOS and Windows 10 (using windows subsystem for linux) using Python 2 or 3. This is the first tool I've found that can index 7m files/2m directories in under 20 min -- linuxserver.io community member.
diskover is an open source file system crawler and disk space usage software that uses Elasticsearch to index and manage data across heterogeneous storage systems. Using diskover, you are able to more effectively search and organize files and system administrators are able to manage storage infrastructure, efficiently provision storage, monitor and report on storage use, and effectively make decisions about new infrastructure purchases. As the amount of file data generated by businesses continues to expand, the stress on expensive storage infrastructure, users and system administrators, and IT budgets continues to grow. Using diskover, users can identify old and unused files and give better insights into data change, file duplication and wasted space. diskover supports crawling local file-systems, crawling NFS/SMB, through TCP sockets using the Tree Walk Client or using http with the Storage Agent. Importing Amazon S3 inventory files is also supported. Plugins can be used for adding additional meta data. diskover is written and maintained by Shirosaidev and runs on Linux, OS X/macOS and Windows 10 (using windows subsystem for linux) using Python 2 or 3. This is the first tool I've found that can index 7m files/2m directories in under 20 min -- linuxserver.io community member.
Support
Quality
Security
License
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Support
diskover has a medium active ecosystem.
It has 879 star(s) with 115 fork(s). There are 59 watchers for this library.
It had no major release in the last 12 months.
There are 16 open issues and 53 have been closed. On average issues are closed in 62 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of diskover is v1.5.1.0
Quality
diskover has no bugs reported.
Security
diskover has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
diskover is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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diskover releases are available to install and integrate.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of diskover
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of diskover
diskover Key Features
No Key Features are available at this moment for diskover.
diskover Examples and Code Snippets
No Code Snippets are available at this moment for diskover.
Community Discussions
No Community Discussions are available at this moment for diskover.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install diskover
In order to run diskover, you first need to create an account and get your auth code at https://diskoverspace.com/diskover/ Once you have created an account and verified, login to receive your auth token. You can learn more about where to set your auth token on the wiki. Check Elasticsearch and Redis are running and are the required versions (see requirements above). Install Python dependencies using pip. Copy diskover config diskover.cfg.sample to diskover.cfg and edit for your environment.
Support
If you are a fan of the project or you are using diskover and it's helping you save storage space, please consider supporting the project on Patreon or PayPal. Thank you so much to all the fans and supporters!.
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