Database for AI powered by a storage format optimized for deep-learning applications.
75
Evaluation — 75%
↑ 1.59xAgent success when using this tile
Dataset utilities
Dataset creation
0%
100%
Random data generation
0%
100%
Schema configuration
0%
100%
Type handling
0%
100%
Cache management
0%
100%
Data import and export
CSV Import Usage
50%
66%
Parquet Import Usage
50%
66%
CSV Export Usage
100%
100%
Dataset Opening
100%
100%
Dataset creation and management
Uses deeplake.create()
100%
100%
Uses deeplake.open()
100%
100%
Uses deeplake.exists()
100%
100%
Uses deeplake.delete()
100%
100%
Advanced query system (TQL)
TQL query execution
100%
0%
WHERE clause filtering
33%
0%
GROUP BY aggregation
100%
0%
COSINE_SIMILARITY function
100%
0%
Multi-condition filtering
50%
0%
Query result handling
100%
0%
Storage abstraction
Dataset creation
0%
100%
Existence checking
0%
100%
Schema definition
0%
80%
Data insertion
0%
100%
Dataset copying
0%
100%
Dataset deletion
0%
100%
Async operations and concurrency
Uses create_async()
0%
100%
Uses query_async()
0%
100%
Future result handling
100%
100%
Future completion checking
0%
0%
Operation cancellation
100%
100%
Version control basics
Dataset creation
33%
100%
Commit implementation
0%
100%
History access
0%
100%
History metadata extraction
0%
66%
Rollback implementation
0%
88%
Advanced storage features
Storage concurrency configuration
100%
100%
Dataset creation API
100%
100%
Image compression configuration
100%
100%
Embedding type configuration
100%
100%
Storage metadata access
100%
100%
Schema and column management
Dataset Creation
40%
100%
Add Column
60%
100%
Rename Column
100%
100%
Remove Column
100%
100%
Advanced version control
Dataset creation
0%
0%
Branch creation
0%
0%
Commit operations
0%
0%
Tag creation
0%
0%
Merge operations
0%
0%
Branch/tag listing
0%
0%
Install with Tessl CLI
npx tessl i tessl/pypi-deeplake