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geosky | spatial analytics

@geosky.dev.bsky.social

geospatial automation • web visualization • data-driven solutions

91 Followers  |  532 Following  |  15 Posts  |  Joined: 28.10.2024  |  1.6402

Latest posts by geosky.dev on Bluesky

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Bonito, a flashy Julia #webframework for interactive apps & notebooks. Reactive UIs, extensible handlers, widgets. Drop a #JuliaLang function, serve local or embed in notebooks. Fast to prototype, production-ready.

makie.org/website/blog...

20.10.2025 15:32 — 👍 2    🔁 0    💬 0    📌 0
Learn SvelteKit Remote Functions Tutorial
YouTube video by Joy of Code Learn SvelteKit Remote Functions Tutorial

I made a SvelteKit remote functions tutorial!

Learn how to work with data in SvelteKit from fetching data to guarding routes and optimistic UI updates.

Follow along with me as we build Svelte Tricks — a CRUD app using Better Auth and Drizzle ORM.

youtu.be/Ldnmirx0QtI

12.10.2025 14:20 — 👍 59    🔁 12    💬 3    📌 1

Awesome!

11.10.2025 03:43 — 👍 0    🔁 0    💬 0    📌 0
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Overview • Docs • Svelte Overview • Svelte documentation

The #Svelte #MCP server can help your LLM or agent of choice write better Svelte code. It works by providing documentation relevant to the task at hand, and statically analysing generated code so that it can suggest fixes and best practices.

svelte.dev/docs/mcp/ove...

07.10.2025 01:47 — 👍 4    🔁 0    💬 0    📌 0
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Packages • Svelte Packages for your Svelte and SvelteKit apps

Packages • Svelte

Find packages that work well with #Svelte and #SvelteKit apps

svelte.dev/packages

04.10.2025 04:36 — 👍 3    🔁 0    💬 0    📌 0
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GitHub - kraina-ai/srai: Spatial Representations for Artificial Intelligence - a Python library toolkit for geospatial machine learning focused on creating embeddings for downstream tasks Spatial Representations for Artificial Intelligence - a Python library toolkit for geospatial machine learning focused on creating embeddings for downstream tasks - kraina-ai/srai

#srai: Spatial Representations for Artificial Intelligence - a #Python library toolkit for #geospatial #machinelearning focused on creating #embeddings for downstream tasks

github.com/kraina-ai/srai

04.10.2025 03:38 — 👍 1    🔁 0    💬 0    📌 0
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Polars raises €18M Series A to build fast, ergonomic data processing at any scale DataFrames for the new era

#Polars raises €18M Series A to build fast, ergonomic #data processing at any scale pola.rs/posts/series...

30.09.2025 01:47 — 👍 0    🔁 0    💬 0    📌 0
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city2graph city2graph logo city2graph logo city2graph is a Python library for converting geospatial datasets into graphs for GNN with integrated interface of GeoPandas, NetworkX, and Pytorch Geometric across ...

#city2graph is a #Python library for converting #geospatial datasets into graphs for #GNN with integrated interface of #GeoPandas, #NetworkX, and #PytorchGeometric across multiple domains

city2graph.net/index.html

28.09.2025 16:54 — 👍 1    🔁 0    💬 0    📌 0
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Getting started Create your first pipeline to ingest streaming data and write to R2 Data Catalog as an Apache Iceberg table.

Get started: developers.cloudflare.com/r2-sql/get-s...

27.09.2025 21:04 — 👍 1    🔁 0    💬 0    📌 0
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R2 SQL: a deep dive into our new distributed query engine R2 SQL provides a built-in, serverless way to run ad-hoc analytic queries against your R2 Data Catalog. This post dives deep under the Iceberg into how we built this distributed engine, from its…

#Cloudflare’s #R2 #SQL: a #serverless query engine that can sift through enormous datasets and return results in seconds.

27.09.2025 21:01 — 👍 2    🔁 0    💬 1    📌 0
Observable Notebooks 2.0 Technology Preview | Observable The future of notebooks 📓🔮 is here. We’re building the next generation of Observable Notebooks, and we’re excited to share a technology preview that you can start using today. 🚀

Observable's Notebooks 2.0 have arrived, bringing a new way to build data apps and dashboards. Learn more at observablehq.com/notebook-kit

#dataviz #javascript #python #observable

25.09.2025 03:30 — 👍 1    🔁 0    💬 0    📌 0
Introducing SedonaDB: A single-node analytical database engine with geospatial as a first-class citizen - Apache Sedona Apache Sedona is a cluster computing system for processing large-scale spatial data. Sedona extends existing cluster computing systems, such as Apache Spark, Apache Flink, and Snowflake, with a set of...

#SedonaDB : A single-node analytical database engine with #geospatial as a first-class citizen

sedona.apache.org/latest/blog/...

24.09.2025 17:46 — 👍 2    🔁 1    💬 0    📌 0

We've extensively adopted #DuckDB for our #geospatial data processing workflows, and the performance gains are remarkable. Recent benchmarks show it can outperform #Spark by 100x on medium-sized datasets while eliminating infrastructure complexity.

blog.dataexpert.io/p/duckdb-can...

24.09.2025 15:46 — 👍 7    🔁 1    💬 0    📌 0
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RADARSAT-2 Tropical Forests: data access opportunity A data access opportunity aims to make a unique, long-term archive of RADARSAT-2 data freely available to scientists and organizations around the world.

A great opportunity for conducting important research in the tropical forests! 🌳

#geospatial #remotesensing #sar #radarsat

22.09.2025 01:47 — 👍 4    🔁 2    💬 0    📌 0

Looking forward to using them!

01.08.2025 14:43 — 👍 3    🔁 0    💬 0    📌 0

Hello @bsky.app, pleased to join this platform. Looking forward to engaging with the community and sharing valuable insights.

29.10.2024 03:45 — 👍 4    🔁 0    💬 1    📌 0

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