Panel
Streamlit
Turtle
Voilà
Dash by Plotly
Shiny
Posiviber
start.me
Datakit.page
Looker
Tableau
Microsoft Power BI
Data Studio
Domo
Grapple
Sisense
It provides rapid data previews, insights through a data inspection tool, as well as a full SQL editor complimented by natural language support.
Users can generate custom charts to visualise their dataset and export as PNG, JPG, SVG or CSVs as well.
To supercharge a user’s ability to query their dataset, an AI data assistant powered by popular LLMs made by Anthropic, OpenAI and xAI is available.
Users can connect to many data sources like MotherDuck, HuggingFace, Excel, CSV, Parquet, JSON, Amazon S3 and many more.
Panel Datakit.pageDatakit.page's answer:
Datakit is a truly zero‑friction analytics studio that lives entirely in your browser (or on your own host) with no installs, no sign‑ups, and no backend to trust. Your data never leaves your machine or your infrastructure, simply close the tab and everything vanishes. Under the hood it leverages WebAssembly‑powered query engines for lightning‑fast performance on even very large datasets, all wrapped in an intuitive, code‑like UI.
Datakit.page's answer:
Privacy & Security by Default: Unlike cloud BI tools that require you to upload or proxy data through third‑party servers, Datakit keeps everything local or on your private host, no risk of unintended data exposure.
Zero Setup: No Docker pulls, no auth flows, no API keys. You simply open your browser (or self‑hosted URL) and you’re instantly in your data.
Speed & Scale: Thanks to Wasm‑compiled query engines (DuckDB/SQLite), you can slice through millions of rows in seconds.
Free & Open-First: No trial timers, no credit card gates, and a roadmap driven by community feedback.
Datakit.page's answer:
Datakit users are Product Managers & PMM’s who need quick, ad‑hoc analyses without waiting on engineering. Operations Engineers who need to write queries fast and provide reports. Executives who want to understand reports and extract insights. Financial analysts who want to spot discrepancies and audit their data.
Datakit.page's answer:
We met as work colleagues and, over years in Product & Engineering roles, repeatedly hit the same wall: painfully slow access to the data we needed to make actionable decisions. Frustrated by ticket queues and heavyweight BI setups, we teamed up for an AI hackathon and won first prize with a Slack AI Data Assistant. That prototype soon evolved into a lightweight BI tool, and as we iterated on it, we realized there was an even bigger opportunity. We stripped away the sign‑ups, the servers, the configuration, and built DataKit: a free‑to‑play, browser‑based data studio that delivers powerful querying and visualization, all while keeping your data entirely under your control.
Datakit.page's answer:
DuckDB-WASM as the in-browser SQL engine (compiled to WebAssembly for ultra-fast queries on CSV, Parquet, XLSX, JSON, etc.) React + TypeScript for a snappy, component-driven UI
Datakit.page's answer:
A number of large music companies use DataKit to open large royalty files.
Based on our record, Panel should be more popular than Datakit.page. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Manganite allows easy conversion of Jupyter notebooks into dashboards. Simply annotate existing notebooks with Jupyter magics and serve them as interactive web apps. Manganite has been created to empower master and doctoral students in econ and management to turn research notebooks into interactive dashboards. The students use Python for data analysis, math programming, and basic machine learning. Instead of... - Source: Hacker News / almost 3 years ago
Https://panel.holoviz.org/ It's a web app framework for Python similar to what Dash does for plotly. It plays nicely with bokeh visuals and I think the front-end is built using bokeh css elements. Source: over 3 years ago
If you want to build Python dashboards, look at the solara (react-style lib, https://solara.dev/) and panel (https://panel.holoviz.org/). Source: over 3 years ago
My suggestion is https://panel.holoviz.org/ Fully open sourced, makes it easy to make reactive apps with small changes, can even configured as a graphical REPL. - Source: Hacker News / over 3 years ago
I am doing something like this in a [panel](https://panel.holoviz.org/) dashboard, which I am currently converting to nicegui. Maybe I can provide an example in some days. Source: over 3 years ago
Hi folks. I've been doing some experiments on how LLMs could get more handy in the day to day of working with files (CSV, Parquet, etc). Earlier last year, I built https://datakit.page and evolved it over and over into an all in-browser experience with help of duckdb-wasm. Got loads of feedbacks and I think it turned into a good shape with being an adhoc local data studio, but I kept hearing two main... - Source: Hacker News / 7 months ago
Live demo: https://datakit.page DataKit is a browser-based data analysis platform that processes multi-gigabyte files (CSV, Parquet, JSON, Excel) entirely client-side using DuckDB-WASM. Your data never leaves your browser. What it does:. - Source: Hacker News / 9 months ago
Streamlit - Turn python scripts into beautiful ML tools
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Turtle - New kind of anonymous messaging app
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Voilà - Voilà turns Jupyter notebooks into standalone web applications.
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile
