🦀 ClawHub
Data Vault
by @vitorhugoze
Persist and retrieve structured data using the Lance columnar format. Use when you need to store, query, or analyze data across sessions — such as saving ski...
💡 Examples
# List all datasets and their metadata
python3 scripts/command.py list-datasets-infoCreate a dataset
python3 scripts/command.py create-dataset ...Append data
python3 scripts/command.py append-to-dataset ...Read all records from a dataset
python3 scripts/command.py read-dataset
Note: list-datasets-info shows dataset metadata (schema, field types, record count) — it does not return the actual data rows. Use read-dataset to retrieve records.
📋 Tips & Best Practices
1. Initialize at session start: Run list-datasets-info to understand what data already exists
2. Plan your schema: First record determines types for the entire dataset
3. Use batch append when adding multiple records: More efficient than individual appends
TERMINAL
clawhub install data-vault