Lance: 100x Faster Data Access
Lance enables founders to accelerate data analysis by converting Parquet files to its Open Lakehouse Format, allowing for 100x faster random access, vector index, and data versioning.
- •When working with large datasets and needing faster data access
- •When integrating with popular data analysis libraries like Pandas, PyTorch, or DuckDB
- •When requiring data versioning and efficient random access for machine learning model training
Convert a sample Parquet file to Lance format and read it with Pandas: `lance convert -i sample.parquet -o sample.lance; import pandas as pd; df = pd.read_lance('sample.lance'); print(df.head())`Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/lance && curl -fsSL https://workflowstacks.com/api/skills/lance/claude-skill -o ~/.claude/skills/lance/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
What's inside — free to inspect
Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/lance && curl -fsSL https://workflowstacks.com/api/skills/lance/claude-skill -o ~/.claude/skills/lance/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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Includes the tested workflow and a written setup playbook. Needs: No extra API — just watches the pages you list.
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