Showing 6 open source projects for "google services"

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  • 1
    SQLPad

    SQLPad

    Web-based SQL editor run in your own private cloud

    A web app for writing and running SQL queries and visualizing the results. Supports Postgres, MySQL, SQL Server, ClickHouse, Crate, Vertica, Trino, Presto, SAP HANA, Cassandra, Snowflake, Google BigQuery, SQLite, TiDB, and many more via ODBC. The docker image runs on port 3000 and uses /var/lib/sqlpad for the embedded database directory. latest tag is continuously built from latest commit in repo. Only use that if you want to live on the edge, otherwise use specific version tags to ensure...
    Downloads: 3 This Week
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  • 2
    leafmap

    leafmap

    A Python package for interactive mapping and geospatial analysis

    A Python package for geospatial analysis and interactive mapping in a Jupyter environment. Leafmap is a Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment. It is a spin-off project of the geemap Python package, which was designed specifically to work with Google Earth Engine (GEE). However, not everyone in the geospatial community has access to the GEE cloud computing platform. Leafmap is designed to fill this gap for non-GEE users. It...
    Downloads: 0 This Week
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  • 3
    GemGIS

    GemGIS

    Spatial data processing for geomodeling

    GemGIS is a Python-based, open-source geographic information processing library. It is capable of preprocessing spatial data such as vector data (shape files, geojson files, geopackages,…), raster data (tif, png,…), data obtained from online services (WCS, WMS, WFS) or XML/KML files (soon). Preprocessed data can be stored in a dedicated Data Class to be passed to the geomodeling package GemPy in order to accelerate the model-building process. Postprocessing of model results will allow export from GemPy to geoinformation systems such as QGIS and ArcGIS or to Google Earth for further use.
    Downloads: 0 This Week
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  • 4
    Vaex

    Vaex

    Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python

    Data science solutions, insights, dashboards, machine learning, deployment. We start at 100GB. Vaex is a high-performance Python library for lazy Out-of-Core data frames (similar to Pandas), to visualize and explore big tabular datasets. It calculates statistics such as mean, sum, count, standard deviation etc, on an N-dimensional grid for more than a billion (10^9) samples/rows per second. Visualization is done using histograms, density plots and 3d volume rendering, allowing interactive...
    Downloads: 0 This Week
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  • 5
    Dataflow Java SDK

    Dataflow Java SDK

    Google Cloud Dataflow provides a simple, powerful model

    The Dataflow Java SDK is the open-source Java library that powers Apache Beam pipelines for Google Cloud Dataflow, a serverless and scalable platform for processing large datasets in both batch and stream modes. This SDK allows developers to write Beam-based pipelines in Java and execute them on Dataflow, taking advantage of features like autoscaling, dynamic work rebalancing, and fault-tolerant distributed processing. While it has been mostly succeeded by the unified Beam SDKs, it remains...
    Downloads: 0 This Week
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  • 6
    Free web3D interactive, extensible, full-scale earth map created and annotated by the public. Like a 3D google + world wiki. Includes integration with enterprise web services. OGC 3D services and 3D chat (vrspace) planned. X3D & VRML standards based.
    Downloads: 1 This Week
    Last Update:
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