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explorer
Series (one-dimensional) and dataframes (two-dimensional) for fast and elegant data exploration in Elixir
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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.
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.
Official website: https://www.phoenixframework.org/
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.
View on GitHub
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: