Showing 3 open source projects for "pandas"

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  • Auth0 for AI Agents now in GA Icon
    Auth0 for AI Agents now in GA

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    Context for your AI agents

    Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.

    Build data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
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  • 1
    Arctic TimeSeries and Tick store

    Arctic TimeSeries and Tick store

    High performance datastore for time series and tick data

    Arctic is a timeseries/dataframe database that sits atop MongoDB. Arctic supports serialization of a number of datatypes for storage in the mongo document model. Serializes a number of data types eg. Pandas DataFrames, Numpy arrays, Python objects via pickling etc. so you don't have to handle different datatypes manually. Uses LZ4 compression by default on the client side to get big savings on network / disk. Allows you to version different stages of an object and snapshot the state (In some ways similar to git), and allows you to freely experiment and then just revert back the snapshot. ...
    Downloads: 19 This Week
    Last Update:
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  • 2
    VAERity

    VAERity

    Uncovering truth in data

    VAERity is a free, open source tool to graphically explore the VAERS data set. It aims to eventually expand in scope to allow fast querying of arbitrary large datasets. It utilizes vaex and pandas as required to provide a balance of speed and query flexibility.
    Downloads: 4 This Week
    Last Update:
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  • 3

    AerinSistemas-Noname

    Elasticsearch to Pandas dataframe or CSV

    ...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
    Last Update:
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