Elwynn Chen
@ob12er
Founder @kanaries_data. open source: RATH 4.4k⭐️, PyGWalker15k⭐️HN day#1story, Graphic Walker2.7k⭐️, building https://runcell.dev
I'm working on a Code Agent for Jupyter users. It can understand what's happening in your Jupyter notebook, including your charts, dataframes, and errors, and automatically take actions to achieve your goal. It's Jupyter Native and works as an extension in your Jupyter. Feel…
Formally Introducing Runcell: An AI Agent for JupyterLab that understands Jupyter cells, writes code, executes code, and debugs for you. You can use it by simply running pip install runcell and using it in your Jupyter environment. Learn more about runcell at…
Runcell is now open for beta. A Jupyter native AI Code Agent, in your jupyter lab, it can understand your notebook, data, context and automate generate code and analysis cell results for you. Install the extension for your jupyter at runcell.dev
Just vibe code a new open source project, alternative to codex cloud / cursor background agent. For vibe coders who want a self-host code agent platform for parallel tasks that can use both codex and claude code, or even custom agents. github.com/ObservedObserv…
I thought with Codex I could finally fix all the issues I never had time for. But most of the PRs didn’t work, so I ended up fixing them manually. Well, Codex did solve my biggest issue—the classic “I have no time” excuse.🤐
pygwalker × Ukiyo-e style design. AI is truly unlocking so many different possibilities.
PyGWalker: Turn your Pandas dataframe into an interactive UI for visual analysis 🐍 #Python #DataScience #pandas #interactive #infoviz
No1. Most fast growing data visualization library: PyGWalker built by @kanaries_data. 5200+ new stars in 2024. It can turn your dataframe into a "tableau" UI for data visualization. You can make charts with simple drag and drop in your jupyter notebook github.com/Kanaries/pygwa…
Latest trending data about python data visualization is out. Check which python library is most popular for data visualization 👉
New research from Meta FAIR: Large Concept Models (LCM) is a fundamentally different paradigm for language modeling that decouples reasoning from language representation, inspired by how humans can plan high-level thoughts to communicate.
Working on a new plugin system allowing developers to customize the chart renderer in graphic-walker. Example of using @observablehq plot for charts. I'm planing to make graphic-walker/pygwalker to be an interactive data exploration wrapper on any plot lib.
Swags from @Streamlit, @Kanaries_data, and @Snowflake! SF's one was nail clippers... somehow 😂 and was a fancy one, not one-dollar
🚀 Exciting news! 🤖 Meet Photes.io, the latest addition to AiTopTools! 📸✏️ Transform images into structured text notes effortlessly with AI magic. Check it out now: aitoptools.com/tool/photes-io/ #AI #ArtificialIntelligence #NewTool #Innovation 🌟
今日からようやく工数予測AIモデル作成に着手。 最初のステップはデータの傾向分析からなのだが、PyGWalker（ピッグウォーカー）がかなり有用。普通はExcelピボットやTableauやLookerStudioなど使うのが一般的だが、下準備がほぼ不要で助かる👍。↓はGoogle Colaboratoryで動かしたイメージ。
#PyGWalker es una útil herramienta para el análisis y visualización de datos para #Jupyter que convierte los #DataFrames de #Pandas en una interfaz de usuario interactiva para la exploración visual. Os lo contamos en el blog 📝⬇️ blog.onesaitplatform.com/2024/10/28/int…
