
DataLensia
Interact, explore, and visualize your data in the browser
What it does
Datalensia lets you load CSV, JSON, or NDJSON files and interactively explore, filter, and visualize your data directly in the browser. Build complex transformations, generate flowcharts or Mermaid diagrams, validate JSON with detailed errors, take workspace notes in Markdown, and organize projects with folders. All processing happens locally, keeping your data private.
Does the same job
all alternatives →- JFJSON For You – Visualize JSON in graph or table views2024 · github.com · ▲211
After two years of improvement, I think it's time to share it with you all. Here’s a quick overview: - Common features include validation, formatting, minification, and more. - Visualize JSON in a graph or table view. - Structured comparison with fallback to text comparison. - Navigate though JSON using JSON pointer. - Supports jq. Would love to hear the community's questions, thoughts and comments!

- JBJSON Browse – Fetch, filter and manipulate your JSON inside the browser2017 · jsonbrowse.com · ▲138
- SPSQLite Plugin for Jekyll2024 · github.com · ▲227
I love Jekyll, especially the Datafiles[0] feature, which lets you use CSV/JSON/YAML files and iterate through them. Mixed with the Jekyll Data Pages generator[1], which lets you create a page for every row in your dataset, it is a very powerful combination. However, Liquid is a terrible language for data-mangling, and simple filtering/sorting/merging can become very annoying. So I wrote a Jekyll SQLite plugin that lets you use the same data interface in Jekyll/Liquid, but backed by a SQLite file(s). It gives you the simplicity of the Baked Data pattern[2], and the…


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Launched alongside, May 2026
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Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai


- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com