silpa_common
Common functions for SILPA and related modules
Decision gist · record as of 2026-08-14
No. The package is abandoned with no maintenance since 2014-05-03 and unspecified Python version support. High install friction from source-only distribution, combined with the age and lack of testing on modern Python versions, makes it unsuitable for new projects. Consider it only if maintaining a legacy SILPA deployment that already depends on it.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Package is abandoned and may not install cleanly on modern Python versions; Python version compatibility is unspecified.
- High install friction due to source-only distribution.
- Package is abandoned since 2014-05-03 with no maintenance activity, raising concerns about compatibility with modern Python versions.
License · maintenance · safety
LGPL-2.1+ (copyleft) — Licensed under LGPL-2.1+, a copyleft license requiring derivative works to be distributed under the same terms. Use in proprietary software requires careful licensing review.
last release 2014-05-03 (4486 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 84,431 downloads/mo, #13,997 on PyPI
Alternatives
Verify before relying
pip install silpa-common
from silpa_common import charmap, langdetect- Whether the package actually works with current Python versions given its abandonment since 2014-05-03
- Whether character mapping and language detection functions are production-ready or experimental
- What specific Indic languages are supported by the charmap module
- Whether the JSONRPC decorator is still relevant for current web frameworks
What it is and what it does
silpa-common is a utility library built for SILPA, a web application focused on processing Indic languages. It provides two main submodules: charmap for mapping characters across Indic and other writing systems, and langdetect for identifying which language a text sample belongs to. The package also exports a servicemethod decorator intended for modules that expose functionality via JSONRPC.
The package has been abandoned since 2014-05-03 and receives no maintenance. It has no runtime dependencies, which simplifies installation, but the source-only distribution and age raise compatibility questions with modern Python environments. Python version support is unspecified, making it uncertain whether the code will run without modification on current systems.
Use it for
- Detect the language of text input in Indic language processing pipelines within legacy SILPA deployments
- Map characters between different Indic writing systems for text normalization or transliteration tasks
- Expose language detection or character mapping functions via JSONRPC in older SILPA-based web services
- Access common utilities shared across multiple SILPA modules in historical or archived projects
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No.
The package is abandoned with no maintenance since 2014-05-03 and unspecified Python version support. High install friction from source-only distribution, combined with the age and lack of testing on modern Python versions, makes it unsuitable for new projects. Consider it only if maintaining a legacy SILPA deployment that already depends on it.
Install
silpa-common on PyPI
Before you install
High install friction due to source-only distribution. Package is abandoned since 2014-05-03 with no maintenance activity, raising concerns about compatibility with modern Python versions.
Package is abandoned and may not install cleanly on modern Python versions; Python version compatibility is unspecified.
License in practice
Licensed under LGPL-2.1+, a copyleft license requiring derivative works to be distributed under the same terms. Use in proprietary software requires careful licensing review.
Quickstart
pip install silpa-common
from silpa_common import charmap, langdetectVerify before relying
- Whether the package actually works with current Python versions given its abandonment since 2014-05-03
- Whether character mapping and language detection functions are production-ready or experimental
- What specific Indic languages are supported by the charmap module
- Whether the JSONRPC decorator is still relevant for current web frameworks
Package facts
| License | LGPL-2.1+ copyleft |
| Python support | Not specified |
| Install friction | High. Source build required |
| Runtime dependencies | None |
| Maintenance | Abandoned 4,486 days since the last release |
| First released | |
| Downloads | 84,431 / month, #13,997 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersIntended Audience :: Information TechnologyLicense :: DFSG approvedLicense :: OSI Approved :: GNU Lesser General Public License v2 or later (LGPLv2+)Operating System :: OS IndependentProgramming Language :: Python |
Evidence: silpa_common-0.3.tar.gz
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “indic language character mapping”
- silpa_commonProvides common utility functions for SILPA, including character…
- bnunicodenormalizerNormalizes Bangla Unicode text by fixing invalid character sequences,…
- unicodedataplusExtends Python's built-in unicodedata module with additional Unicode…
Give your agent the search over MCP, or paste the wish link into any chat.
More Linguistic packages
Detects and normalizes text encoding from unknown or ambiguous sources, supporting all IANA character sets that Python's core library provides codecs for, with the ability to register custom codecs.
tiktoken is a fast BPE tokenizer that converts text into token sequences compatible with OpenAI models, supporting multiple encoding schemes including o200k_base and model-specific encodings.
Install it if you work with OpenAI APIs or need to understand token boundaries in GPT-family models.
Detects character encoding and language in byte sequences with high accuracy, supporting 99 encodings and returning confidence scores, language tags, and MIME types.
Install it if you need to detect character encoding or language in byte data; the rewrite makes it substantially faster and more accurate than its predecessors.
Converts Unicode text to ASCII by transliterating non-ASCII characters into their closest ASCII equivalents, with no runtime dependencies.
However, if transliteration quality or ongoing maintenance matters, consider unidecode instead despite its GPL-only license.
Lark is a parsing library that builds abstract syntax trees from context-free grammars, supporting multiple parsing algorithms (Earley, LALR(1), CYK) with automatic line and column tracking.
Python bindings to the tree-sitter parsing library, enabling incremental parsing and syntax tree analysis for source code.
See also indic-nlp-library · lingua-language-detector · langdetect · whisper-normalizer · indic-transliteration · epitran · bnunicodenormalizer · spacy-language-detection · unicodedataplus · soundex