Showing 4 open source projects for "elasticsearch"

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    Paessler - Monitor Your Whole Network in Minutes

    Auto-discovery finds your devices and deploys pre-configured sensors instantly. No project plan required, just visibility from day one.

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    Demo Series - Small Business Backup By Veeam

    Learn how to protect your Microsoft 365 data, with simple, actionable tips today.

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  • 1
    pytablewriter

    pytablewriter

    pytablewriter is a Python library to write a table in various formats

    pytablewriter is a Python library to write a table in various formats: AsciiDoc / CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV / YAML.
    Downloads: 0 This Week
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  • 2
    Full Stack FastAPI Couchbase

    Full Stack FastAPI Couchbase

    Full stack, modern web application generator

    ...REST backend tests based on Pytest, integrated with Docker, so you can test the full API interaction, independent on the database. As it runs in Docker, it can build a new data store from scratch each time (so you can use ElasticSearch, MongoDB, or whatever you want, and just test that the API works). Load balancing between frontend and backend with Traefik, so you can have both under the same domain, separated by path, but served by different containers.
    Downloads: 0 This Week
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  • 3

    AerinSistemas-Noname

    Elasticsearch to Pandas dataframe or CSV

    API and command line utility, written in Python, for querying Elasticsearch exporting result as documents into a CSV file. The search can be done using logical operators or ranges, in combination or alone. The output can be limited to the desired attributes. Also ToT can insert the querying to a Pandas Dataframe or/and save its in a HDF5 container (under development).
    Downloads: 0 This Week
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  • 4
    pyspider

    pyspider

    A powerful Spider(Web Crawler) system in Python

    pyspider is a powerful Spider(Web Crawler) system in Python. Components are connected by message queue. Every component, including message queue, is running in their own process/thread, and replaceable. That means, when process is slow, you can have many instances of processor and make full use of multiple CPUs, or deploy to multiple machines. This architecture makes pyspider really fast. benchmarking. Since pyspider has various components, you can just run pyspider to start a standalone and...
    Downloads: 1 This Week
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    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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