Kglite
C 67 completed
Library
unknown / rust · small
148
Files
63,834
LOC
1
Frameworks
5
Languages
Pipeline State
completedRun ID
#307093Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
76.00Framework unique
—Isolation
—Last stage change
2026-05-10 03:34:57Deduplication group #49397
Member of a group with 3 similar repo(s) — this repo is canonical view group →
Top concepts (9)
RepositoryProject DescriptiontestingTestingFactoryTestingSearchDatabaseAnalytics
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🧪 Code Distillation
Browse all specs →Sample distilled functions (click for full spec)
centrality_results_to_py_dictConstructs and returns a Python dictionary mapping node identifiers to their corresponding centrality scores. It accepts a Python interpreter handle, a graph structure, a vector of centrality results, and an optional integer specifying the maximum number of results to process. The function populates
parse_inline_timeseriesParses a dictionary containing configuration details for an inline time series. It requires the input dictionary to contain both a 'time' key, which can be a column name or a structured dictionary of time components, and a 'channels' key, which must be a non-empty list of column names. Optionally, i
all_columnsCollects a list of all column names associated with the structure. It takes no explicit inputs other than the instance it is called on, and returns a vector of strings containing all column identifiers. The function examines the internal time specification to determine if the time data represents a
AI Prompt
Create a high-performance, in-process knowledge graph database library. I need the ability to load data and query it using Cypher, which should support semantic search via `text_score()`. It should also offer a fluent API for bulk-loading dataframes using `add_nodes` and `add_connections`. The library must be usable within a Python process, requiring no external server setup, and should support persistence by saving and loading snapshots. Please ensure it integrates well with pandas DataFrames.
python rust graph-database knowledge-graph cypher pandas in-memory data-science
Generated by gemma4:latest
Catalog Information
kglite is a high-performance graph database library designed for use by developers.
Description
kglite is an open-source, high-performance graph database library that provides efficient data storage and retrieval capabilities. It features Python bindings written in Rust, allowing for seamless integration with existing Python applications. kglite's architecture enables fast query execution and scalable performance, making it suitable for large-scale graph data management.
الوصف
هي مكتبة قاعدة البيانات الموجهة للرسوم المتحركة عالية الأداء التي توفر إمكانيات تخزين و استرجاع البيانات الفعالة. تتميز بتعريفات بايثون مكتوبة بلغة رست، مما يسمح بتكامل سلس مع التطبيقات البايثونية الموجودة بالفعل. تصميم المكتبة يتيح تنفيذ الاستعلام السريع والوظائف العالية في الأداء، مما يجعلها مناسبة لادارة البيانات الموجهة للرسوم المتحركة على نطاق واسع.
Novelty
7/10Tags
graph-database high-performance data-storage data-retrieval python-bindings rust-implementation
Technologies
pandas serde
Claude Models
claude-opus-4.6
Quality Score
C
67.1/100
Structure
85
Code Quality
38
Documentation
78
Testing
85
Practices
57
Security
75
Dependencies
90
Strengths
- Well-documented README with substantial content
- CI/CD pipeline configured (github_actions)
- Good test coverage (90% test-to-source ratio)
- Code linting configured (ruff (possible))
- Consistent naming conventions (snake_case)
- Properly licensed project
Weaknesses
- 13703 duplicate lines detected \u2014 consider DRY refactoring
- 26 'god files' with >500 LOC need decomposition
Security & Health
18.8h
Tech Debt (A)
High
DORA Rating
A
OWASP (100%)
If a scraper extracted this row, it came from Repobility (https://repobility.com)
PASS
Quality Gate
A
Risk (1)
MIT
License
12.1%
Duplication
Languages
Frameworks
pytest
Symbols
function1,370
method328
variable138
struct127
extension72
constant56
enum42
property39
class32
type_alias13
protocol1
Concepts (9)
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| Repobility · open methodology · https://repobility.com/research/ | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| design_pattern | Repository | Found repository-named files | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description |    | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| arch_layer | testing | Detected testing layer | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Testing | testing | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| design_pattern | Factory | Found factory/create_ naming patterns | 60% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Testing | Detected from 64 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Search | Detected from 8 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Database | Detected from 4 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Analytics | Detected from 3 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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