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open-energy-transition/grid2poster

Design posters showcasing your country's electrical grid

Visit GitHub
Python
271
27
2 contributors
MIT License
website
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Momentum

How fast open-energy-transition/grid2poster is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Sep 1 – Oct 19, 2026

Stars +11 in 49 days

0246
5

Forks +3 in 49 days

01
1

Merged PRs 0 in 49 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Sep 1Sep 8Sep 15Sep 22Sep 29Oct 6Oct 13
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Tue, Sep 1, 2026+1+00
Wed, Sep 2, 2026+1+00
Thu, Sep 3, 2026+0+10
Fri, Sep 4, 2026+0+00
Sat, Sep 5, 2026+0+00
Sun, Sep 6, 2026+0+00
Mon, Sep 7, 2026+0+00
Tue, Sep 8, 2026+0+00
Wed, Sep 9, 2026+0+00
Thu, Sep 10, 2026+0+00
Fri, Sep 11, 2026+0+00
Sat, Sep 12, 2026+0+00
Sun, Sep 13, 2026+0+00
Mon, Sep 14, 2026+0+00
Tue, Sep 15, 2026+0+00
Wed, Sep 16, 2026+1+00
Thu, Sep 17, 2026+0+00
Fri, Sep 18, 2026+1+00
Sat, Sep 19, 2026+0+00
Sun, Sep 20, 2026+0+00
Mon, Sep 21, 2026+1+00
Tue, Sep 22, 2026+1+00
Wed, Sep 23, 2026+0+00
Thu, Sep 24, 2026+0+00
Fri, Sep 25, 2026+0+00
Sat, Sep 26, 2026+0+00
Sun, Sep 27, 2026+0+00
Mon, Sep 28, 2026+0+10
Tue, Sep 29, 2026+0+00
Wed, Sep 30, 2026+0+00
Thu, Oct 1, 2026+0+00
Fri, Oct 2, 2026+0+00
Sat, Oct 3, 2026+0+00
Sun, Oct 4, 2026+0+00
Mon, Oct 5, 2026+0+00
Tue, Oct 6, 2026+0+00
Wed, Oct 7, 2026+0+00
Thu, Oct 8, 2026+0+00
Fri, Oct 9, 2026+0+10
Sat, Oct 10, 2026+0+00
Sun, Oct 11, 2026+5+00
Mon, Oct 12, 2026+0+00
Tue, Oct 13, 2026+0+00
Wed, Oct 14, 2026+0+00
Thu, Oct 15, 2026+0+00
Fri, Oct 16, 2026+0+00
Sat, Oct 17, 2026+0+00
Sun, Oct 18, 2026+0+00
Mon, Oct 19, 2026+0+00
Total+11+30
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Oct 111 post
    • 拿 OpenStreetMap 的数据把全球电网线路渲染成可打印海报?这个工具的路子确实够野。 🔗 底层跑的是 GeoPandas + OSMnx + Matplotlib,支持按国家、大洲或自定义区域出图,还有多套视觉主题可以换。 有一点得说清楚:海报质量完全取决于 OpenStreetMap 的数据覆盖度,某些地区数据稀烂,出来的图就没法看。想改善的话可以去 MapYourGrid…

      Read full on X, posted by @Manorgw

      @Manorgw · x.com

  2. 15 days earlier
  3. Sep 261 post
    • 接下来唠的这个工具路数挺野——有人拿 OpenStreetMap 的数据,把全球各国的电网线路直接渲染成一张能打出来挂墙的海报。 🔗 : 底层靠的是 GeoPandas + OSMnx + Matplotlib,按国家、大洲或者自定义区域出图都行,视觉主题也有好几套可以挑。 有一点得留神:海报成色完全看 OpenStreetMap…

      Read full on X, posted by @xiao92666

      @xiao92666 · x.com

  4. 11 days earlier
  5. Sep 151 post
    • 接下来唠的这个工具,路数挺野的—— 拿OpenStreetMap的数据,把全球各国的电网线路直接渲染成一张能打出来挂墙的海报。 🔗 : 底下跑的是GeoPandas + OSMnx + Matplotlib,支持按国家、大洲或者自定义区域出图,还有好几套视觉主题随你挑。…

      Read full on X, posted by @yangordi

      @yangordi · x.com

  6. 17 days earlier
  7. Aug 291 post
    • 这工具路子挺牛的,用OpenStreetMap数据,把各国电网渲成可打印海报。 底层靠GeoPandas+OSMnx+Matplotlib,支持按国家、大洲或自定义区域出图,多套主题随便换。 海报质量取决于OpenStreetMap数据覆盖度,部分地区数据拉胯,出图没法看。想改善去MapYourGrid社区自己补。 🔗:

      Read full on X, posted by @XAMTO_AI

      @XAMTO_AI · x.com

  8. 15 days earlier
  9. Aug 141 post
    • 用OpenStreetMap数据把全球电网线路渲染成可打印海报?这个工具路子真够野的。 🔗 底层跑的是GeoPandas + OSMnx + Matplotlib,支持按国家、大洲或自定义区域出图,还有多套视觉主题可以换。 有一点得说清楚:海报质量完全取决于OpenStreetMap的数据覆盖度,某些地区数据稀烂,出来的图就没法看。想改善的话可以去MapYourGrid社区自己动手补数据。

      Read full on X, posted by @bkdgiffug

      @bkdgiffug · x.com

  10. 2 months earlier
  11. Jun 121 post
    • 接下来要说的这个工具,路子挺野的—— 用 OpenStreetMap 的数据,把全球各国的电网线路直接渲染成一张可以打印的海报。 🔗 : 底层跑的是 GeoPandas + OSMnx + Matplotlib,支持按国家、大洲或者自定义区域出图,还有多套视觉主题可以选。 有一点要注意:海报质量完全取决于 OpenStreetMap…

      Read full on X, posted by @XAMTO_AI

      @XAMTO_AI · x.com

  12. Jun 81 post
    • Grids of the world. Create your own grid posters ➡️

      Read full on X, posted by @maxparzen

      @maxparzen · x.com

  13. 18 days earlier
  14. May 211 post
    • 这个工具有点意思—— 用 OpenStreetMap 的数据,把全球各国的电网线路直接渲染成一张可以打印的海报。 🔗 链接: 底层跑的是 GeoPandas + OSMnx + Matplotlib,支持按国家、大洲或者自定义区域出图,还有多套视觉主题可以选。 有一点要注意:海报质量完全取决于 OpenStreetMap 的数据覆盖度,某些地区数据稀烂,出来的图就很难看。想改善的话可以去…

      Read full on X, posted by @NFTCPS

      @NFTCPS · x.com

  15. May 191 post
    • 从 OpenStreetMap 数据生成各国电网基础设施的打印海报。 从 OpenStreetMap 抓取输电线路数据,通过 GeoPandas、OSMnx 和 Matplotlib 渲染成海报。支持国家、大洲和自定义 GeoJSON 区域,内置多种视觉主题可选。海报质量取决于 OpenStreetMap 的数据覆盖度,想改进某个地区的数据可以去 MapYourGrid 社区参与绘制。

      Read full on X, posted by @QingQ77

      @QingQ77 · x.com

  16. May 181 post
    • Design posters showcasing your country's electrical grid (

      Read full on X, posted by @betterhn20

      @betterhn20 · x.com

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