Showing 8 open source projects for "linux text editor"

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  • 1
    Querybook

    Querybook

    Big Data Querying UI, combining collocated table metadata

    Querybook is Pinterest’s open-source big data IDE via a notebook interface. Querybook’s core focus is to make composing queries, creating analyses, and collaborating with others as simple as possible. Organize rich text, queries, and charts into a notebook to easily document your analyses. Work collaboratively with others in a DataDoc and get real-time updates. The Query Editor is aware of your tables and their columns, as such it provides autocompletion, syntax highlighting, and the ability to hover or click on a table to view its information. No need to leave Querybook to create charts to quickly visualize your results. ...
    Downloads: 1 This Week
    Last Update:
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  • 2
    Vespa

    Vespa

    The open big data serving engine

    Make AI-driven decisions using your data, in real-time. At any scale, with unbeatable performance. Vespa is a full-featured text search engine and supports both regular text search and fast approximate vector search (ANN). This makes it easy to create high-performing search applications at any scale, whether you want to use traditional techniques or a modern vector-based approach. You can even combine both approaches efficiently in the same query, something no other engine can do....
    Downloads: 1 This Week
    Last Update:
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  • 3
    Parkiet

    Parkiet

    Parquet format file GUI editor

    Parquet file viewer and editor written in Java and SWT. It uses Apache Avro library for reading and writing edited parquet files. Only Parquet files with simple data type columns are supported.
    Downloads: 4 This Week
    Last Update:
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  • 4
    qvge

    qvge

    Qt Visual Graph Editor

    qvge is a multiplatform graph editor written in C++/Qt. Its main goal is to make possible visually edit two-dimensional graphs in a simple and intuitive way. Please note that qvge is not a replacement for such a software like Gephi, Graphvis, Dot, yEd, Dia and so on. It is neither a tool for "big data analysis" nor a math application. It is really just a simple graph editor :)
    Downloads: 10 This Week
    Last Update:
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  • 5

    json-scada

    A portable SCADA/IoT platform centered on the MongoDB database server.

    Standard IT tools applied to SCADA/IoT (MongoDB, PostgreSQL/TimescaleDB,Node.js, C#, Golang, Grafana, etc.). MongoDB as the real-time core database, persistence layer, config store, SOE historian. Portability and interoperability over Linux, Windows, x86/64, ARM. Horizontal scalability, from a single computer to big clusters (MongoDB-sharding), Bare Metal, Docker containers, VM, cloud, or hybrid deployments. Unlimited tags, servers, and users. HTML5 Web interface. UTF-8/I18N. Protocols:...
    Downloads: 4 This Week
    Last Update:
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  • 6
    SentimentAnalysis-Rick&Morty

    SentimentAnalysis-Rick&Morty

    Rick & Morty Sentiment Analysis - End-of-Degree Project - UNIR

    The remarkable progress in the field of Big Data has driven the development of new technologies in natural language processing and data analysis. Text mining is a fascinating application of data analysis that extracts relevant information from related writings in different linguistic contexts. And therefore, in natural language processing, sentiment analysis and classification stands out as a key application supported by text mining. Through the extraction of information from textual...
    Downloads: 0 This Week
    Last Update:
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  • 7

    paralline

    Big Data tool

    Paralline executes a python function (or lambda function) or a script over each line of huge text files, in parallel processes and aggregates the result to a list.
    Downloads: 0 This Week
    Last Update:
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  • 8

    iCubing

    Several OLAP algorithms, data structures and HPC OLAP versions

    OLAP technology is very useful for decision makers and data mining tools with BIG data. In this direction, we implement iCubing project with several multidimensional data cube approaches for cube indexing, querying, updating and mining. There are also several cube types, i.e. alphanumeric cubes, text cubes with unstructured data and geo cube with geo types, dimensions, measures and hierarchies, so the OLAP area continues a hard challenge after more than 20 years of the seminal paper of Jim...
    Downloads: 0 This Week
    Last Update:
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