Quick candlestick summaries with Elixir's Explorer

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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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SaaSHub helps you find the best software and product alternatives
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  • explorer

    Series (one-dimensional) and dataframes (two-dimensional) for fast and elegant data exploration in Elixir

  • I have a toy project where I'm making a cryptocurrency exchange website, and I've been playing with the Elixir Nx project's Explorer library to manipulate this data. I found that you can summarize trade data into candlestick data extremely easily. This transformation is also very fast, because Explorer uses a Rust-based backend called Polars for the actual data manipulation.

  • Phoenix

    Peace of mind from prototype to production

  • Official website: https://www.phoenixframework.org/

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • polars

    Dataframes powered by a multithreaded, vectorized query engine, written in Rust

  • I have a toy project where I'm making a cryptocurrency exchange website, and I've been playing with the Elixir Nx project's Explorer library to manipulate this data. I found that you can summarize trade data into candlestick data extremely easily. This transformation is also very fast, because Explorer uses a Rust-based backend called Polars for the actual data manipulation.

  • exchange

    Discontinued A market application with a focus on cryptocurrencies (by Cantido)

  • View on GitHub

  • dplyr

    dplyr: A grammar of data manipulation

  • The API is heavily influenced by Tidy Data and borrows much of its design from dplyr. The philosophy is heavily influenced by this passage from dplyr's documentation:

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