marimo is a reactive Python notebook: run a cell or interact with a UI element, and marimo automatically runs dependent cells (or marks them as stale), keeping code and outputs consistent. marimo notebooks are stored as pure Python, executable as scripts, and deployable as apps. Highlights. 🚀 batteries-included: replaces jupyter, streamlit, jupytext, ipywidgets, papermill, and more ⚡️ reactive: run a cell, and marimo reactively runs all dependent cells or marks them as stale 🖐️ int
Grafana allows you to query, visualize, alert on and understand your metrics no matter where they are stored. Create, explore, and share dashboards with your team and foster a data-driven culture: Visualizations: Fast and flexible client side graphs with a multitude of options. Panel plugins offer many different ways to visualize metrics and logs. Dynamic Dashboards: Create dynamic & reusable dashboards with template variables that appear as dropdowns at the top of the dashboard. Ex
Squey is designed from the ground up to take advantage of GPUs and CPUs to perform interactive explorations of massive amounts of data. It gives users an exhaustive yet intuitive multi-view representation of columnar data and can ingest from: 1. Structured text files (CSV, logs, ...) 2. Apache Parquet files 3. Pcap files 4. SQL databases 5. Elasticsearch databases Squey strives to deliver value through its V.I.SU approach: - Visualize: Leverage various visual representa
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