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You must be logged in to sponsor RandomFractals

Become a sponsor toTaras Novak

@RandomFractals

Taras Novak

RandomFractals
Chicago, IL, USA

👋 Hello! My name is Taras Novak.Random Fractals Inc. is our OSS projects umbrella ☂️ org.

We create data visualizations 📈 anddata tools ⚒️ for devs 👨‍💻👩‍💻 , data scientists 🧑‍🔬👩‍🔬 & world 🌐 peace ☮️! ✌️

Our public Open SourceData Notebooks 📚 and RandomFractals 🔬 Data Tools on:

https://marketplace.visualstudio.com/publishers/RandomFractalsInc

Please support us in making better 🗺️ & 📈 tools for devs and data scientists. 🙏

@RandomFractals

Share our custom Random Fractals, Inc. data viz tools with your dev friends and help us get 20 monthly sponsors on GitHub.

Current sponsors5

@mbernemann
@nucr-dev
@jboarman
@metllord
@sparkfish
Past sponsors24
@whilp
@theAlgorithmist
@Michael-J-Ward
@max-sixty
@fordmustang5l
@PawelStadnicki
@kylelundstedt
@WalterPaixaoCortes
Private Sponsor
@jdmonty
@ckaminski137
@chanan12
@muness
@hrbrmstr
@franksmithxyz
Private Sponsor
@iHusk
@raphaelk-medsimples

Featured work

  1. RandomFractals/vscode-data-preview

    Data Preview 🈸 extension for importing 📤 viewing 🔎 slicing 🔪 dicing 🎲 charting 📊 & exporting 📥 large JSON array/config, YAML, Apache Arrow, Avro, Parquet & Excel data files

    TypeScript 584
  2. RandomFractals/vscode-vega-viewer

    VSCode extension for Interactive Preview of Vega and Vega-Lite maps 🗺️ and graphs 📈.

    TypeScript 131
  3. RandomFractals/geo-data-viewer

    Geo Data Analytics tool for VSCode IDE with kepler.gl support to generate and view maps 🗺️ without any Python 🐍, IPyWidgets ⚙️, pandas 🐼, Jupyter notebooks 📚, or ReactJS ⚛️ app code.

    HTML 460
  4. RandomFractals/vscode-data-table

    Data Table 🈸 , Flat Data Grid 中 & Data Summary 🈷️ Renderers for VSCode Notebook 📓 Cell ⌗ Data Outputs

    JavaScript 29
  5. RandomFractals/tabular-data-viewer

    Tabular Data Viewer 🀄 VSCode extension for viewing very large local and remote CSV and TSV data files with Tabulator Table, Perspective Datagrid and D3FC Chart Views 📊📈

    TypeScript 12
  6. RandomFractals/pro-data-tools

    Pro Data Tools 🛠️ for VS Code IDE 🧙‍♂️: DuckDB Pro Tools, PRQL Code Lens, new Markdown SQL Pro Tools, upcoming Data Notebooks 📚 Pro Tools docs and demos, etc.

25% towards 20 monthly sponsors goal

@mbernemann@nucr-dev
@sparkfish@jboarman@metllord

mbernemann and 4 others sponsor this goal

Select a tier

Fan

You likeData Preview 🈸,Geo Data Viewer 🗺️,Vega Viewer 📈, other freeRandom Fractals Inc. VS Code extensions and our publicObservable JS Notebooks 📚, and you want to show your gratitude and support.

✅ Get a Sponsor badge on your GitHub profile

$10 a month

Select

Pro

Sign up for updates and access to our newPro Data Tools 🛠️:

📥 Get newSQLite Pro Tools
🛢️ UseDuckDB Pro SQL Tools
▶️ GetPRQL Code Lens
🐘 Access newPG SQL and
📚Data Notebooks Pro Tools soon

$20 a month

Select

Markdown Sql Pro Tools

✅ Get access to the newMarkdown Sql Pro Tools for VS Code IDE.

This newPro Data Tools tier will also grant you access to the newSQLite Pro Tools,DuckDB Pro Tools andPRQL Code Lens available to ourPro Sponsors on GitHub.

$100 a month

Select

Team

Your small 5-10 data/dev team uses our data visualization tools and you'd like to show your appreciation for simplifying your daily data analytics dev workflow in vscode.

Use this tier to influence future data tools development and gain access to team collaboration features with data analyticsliveshare integration coming soon!

$500 a month

Select

Organization

Your organization finds our data analytics tools essential and invaluable for their engineering team.

This is your chance to sponsor future enhancements and features development in a substantial way.

Organization subscribers will get notifications and access to our new private github repository integrations and enterprise data connectors planned as new additions to our custom data visualization tools.

$1,000 a month

Select

Integration

This monthly development sponsoring tier is for more cohesive data viz tools collaboration with other data teams, and integration of our custom data viz extensions and data renderers with their own tools, notebooks, and vscode extensions. Some examples of custom feature integrations looking for organizations and data tool teams sponsoring that development work are in ourData Table Renderers repository.


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