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alembica

Open science package for LLM-powered semantic synthesis and precise extraction of information from unstructured texts.

https://github.com/open-and-sustainable/alembica

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 7 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Academic email domains
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    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (12.1%) to scientific vocabulary

Keywords

generative-ai large-language-models open-science
Last synced: 6 months ago · JSON representation ·

Repository

Open science package for LLM-powered semantic synthesis and precise extraction of information from unstructured texts.

Basic Info
Statistics
  • Stars: 1
  • Watchers: 0
  • Forks: 0
  • Open Issues: 5
  • Releases: 8
Topics
generative-ai large-language-models open-science
Created about 1 year ago · Last pushed 9 months ago
Metadata Files
Readme Changelog Contributing License Code of conduct Citation Security Support

README.md

logo alembica

Open Science Software for Semantic Synthesis and Extraction of Information from Unstructured Sources.

Go Reference Go Report Card DOI

About

alembica simplifies the use of Large Language Models (LLMs) to extract structured datasets from unstructured corpora of text. It provides a flexible and scalable framework to process, synthesize, and transform textual information into structured formats suitable for analysis and further processing.

Installation (Go)

To install alembica in Go, run:

sh go get github.com/open-and-sustainable/alembica

If you want to use alembica in other programming languages, check out the C-Shared Library in the User Guide.

Documentation

User Guide – Learn how to use alembica in different programming languages. API Reference – Explore the Go package documentation.

Features

  • Validation of Input – Ensures that queries are correctly formatted to support proper interaction with models.
  • Cost Assessment – Calculates token costs based on the requested extraction and different model pricing.
  • Data Extraction – Processes unstructured text and transforms it into structured datasets for further analysis.

Authors & Contributions

Author: Riccardo Boero - ribo@nilu.no

Contributions are welcome!

License

alembica is licensed under the GNU AFFERO GENERAL PUBLIC LICENSE, Version 3.

AGPL License

Citation

Boero, R. (2025). alembica - Open Science Software for Semantic Synthesis and Extraction of Information from Unstructured Sources. Zenodo. https://doi.org/10.5281/zenodo.14899666

Owner

  • Name: Open and Sustainable
  • Login: Open-and-Sustainable
  • Kind: organization

Citation (CITATION.cff) 

cff-version: 1.2.0
title: alembica - Open Science Software for Semantic Synthesis and Extraction of Information from Unstructured Sources.
message: >-
  v0.0.8 - formatting and typos.
  Fixed formatting issues and spelling errors, filled in docstrings and tests.
type: software
doi: 10.5281/zenodo.14899666
authors:
  - given-names: Riccardo
    family-names: Boero
    email: ribo@nilu.no
    orcid: 'https://orcid.org/0000-0002-7468-9096'
    affiliation: NILU
identifiers:
  - type: doi
    value: 10.5281/zenodo.14899666
    description: This DOI represents all software versions.
repository-code: 'https://github.com/open-and-sustainable/alembica'
url: 'https://open-and-sustainable.github.io/alembica/'
abstract: >-
  `alembica` simplifies the use of Large Language Models (LLMs) to extract structured data sets from unstructured corpora of text. It provides a flexible and scalable framework to process, synthesize, and transform textual information of any type. The output is structured into formats suitable for analysis and further processing.
keywords:
  - Generative AI
  - Large Language Models
  - Open Source
  - Open Science
  - Semantic Synthesis
  - Information Extraction
license: AGPL-3.0-only

GitHub Events

Total
  • Create event: 12
  • Release event: 6
  • Issues event: 24
  • Watch event: 1
  • Delete event: 6
  • Issue comment event: 3
  • Push event: 86
  • Pull request event: 13
Last Year
  • Create event: 12
  • Release event: 6
  • Issues event: 24
  • Watch event: 1
  • Delete event: 6
  • Issue comment event: 3
  • Push event: 86
  • Pull request event: 13

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 14
  • Total pull requests: 8
  • Average time to close issues: 18 days
  • Average time to close pull requests: about 1 hour
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 0.07
  • Average comments per pull request: 0.0
  • Merged pull requests: 5
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 14
  • Pull requests: 8
  • Average time to close issues: 18 days
  • Average time to close pull requests: about 1 hour
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 0.07
  • Average comments per pull request: 0.0
  • Merged pull requests: 5
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • ricboer0 (13)
Pull Request Authors
  • ricboer0 (6)
Top Labels
Issue Labels
enhancement (6) 15 (4) 3 (3) 30 (3) documentation (2) automation (2) 5 (1)
Pull Request Labels
codex (4)

Packages

  • Total packages: 1
  • Total downloads: unknown
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 8
proxy.golang.org: github.com/open-and-sustainable/alembica
  • Versions: 8
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 5.7%
Average: 5.9%
Dependent repos count: 6.1%
Last synced: 7 months ago