Dublin Rev. 2026.04 2026 / 04 / 24

Data, Physics & the cosmos.

Who

Jigar Patel. Analyst, Python developer, backyard astronomer. Based in Dublin.

What

Dashboards. Models. Open-source tooling. Astrophotography when the sky cooperates.

Index
Python Pandas PostgreSQL ECharts scikit-learn TensorFlow PyTorch QGIS AWS Docker Python Pandas PostgreSQL ECharts scikit-learn TensorFlow PyTorch QGIS AWS Docker
§ 01

Profile, the short version.

Est. 2022 · Dublin, IE
Jigar Patel

I turn data into decisions, and occasionally into pictures of galaxies.

Trained as a physicist, retrained as a data analyst. I care about clarity, correctness, and speed to insight. My work spans interactive dashboards, statistical modelling, ML experiments, and an open-source library I maintain for chart-lovers.

M.Sc. Data Science B.Sc. Physics Dublin, IE
  • 7Projects
  • 16Tools
  • 2Degrees
  • Curiosity
§ 02

Selected work.

6 projects / 2022–2026
Open source · Featured

echartsy

Declarative builder over ECharts. Pandas-native. Ships theme presets, SVG + canvas renderers, composable figures. pip install echartsy.

  • 01Declarative builder over ECharts
  • 02Pandas-native I/O
  • 03Theme presets + composable figures
  • 04Ships with SVG + canvas renderers
jupyter / echartsy.figure v0.7.4
# 4-line figure
import echartsy as ec
fig = ec.figure(height="480px")
fig.bar(df, x="Quarter", y="Revenue", gradient=True)
fig.show()

Currently in orbit.

  1. 01 Maintaining echartsy (v0.7.4) . Pandas-native fluent builder for Apache ECharts: 19 chart types, three render targets (Jupyter, Streamlit, browser). Latest release added six color palettes and five style presets.
  2. 02 Reading . Thinking in Systems (Meadows) and Gaia DR4 release notes.
  3. 03 Photographing . Narrow-band emission nebulae from Dublin's backyard skies.

Let's make something clearly seen.