promec-indexer | Index Commet Data into Elasticsearch

by gurvindersingh Go Version: 0.1.2 License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | promec-indexer Summary

promec-indexer is a Go library. promec-indexer has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Index Commet Data into Elasticsearch

Support

Quality

Security

License

Reuse

Support

promec-indexer has a low active ecosystem.

It has 1 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

promec-indexer has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of promec-indexer is 0.1.2

Quality

promec-indexer has no bugs reported.

Security

promec-indexer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

promec-indexer 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

promec-indexer releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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promec-indexer Key Features

No Key Features are available at this moment for promec-indexer.

promec-indexer Examples and Code Snippets

No Code Snippets are available at this moment for promec-indexer.

Community Discussions

No Community Discussions are available at this moment for promec-indexer.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install promec-indexer

You can setup the whole stack with docker containers. The repo contains docker-compose file. Make sure you have docker-engine installed on your machine. The run the command from repo directory as. This will bring up the whole stack: Elasticsearch, Kibana and Promec-Indexer. Now if you put any pepXML file /tmp/indexer directory, it will be indexed and available for searching in the Kibana at http://localhost:5601. Before accessing the Kibana URL, make sure it is running as shown in the logs from docker-compose up command.

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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