Observed since 21 Oct, 09:08 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
AgilisysDailyTenders
Agilisys Tender Alert is a data processing, web scraping, and classification tool focused on tender data. The project uses Playwright to automate web filtering and scraping, then processes and classifies the scraped data using various NLP techniques to retain only relevant tenders.
Agilisys Tender Alert is a data processing, web scraping, and classification tool focused on tender data. The project uses Playwright to automate web filtering and scraping, then processes and classifies the scraped data using various NLP techniques to retain only relevant tenders.
This project aims to streamline the tender selection process by:
Using pip (PyPI Release) To install the package from PyPI, run:
pip install Agilisys_Daily_Tender
Run a python file with the below code in it
from AgilisysDailyTender import main
The final Excel file (Shortlisted_Tenders_.xlsx) will contain only the tenders that passed the classification criteria, along with any relevant metadata and URLs. All the tenders are saved in case if there is a need of reference under the corresponding Excel files (extracted_data)
Download counts and popularity will appear here as the collector receives them.
| Package / target | Requirement | Relationship |
|---|---|---|
beautifulsoup4Environment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | beautifulsoup4==4.12.3 | runtime |
blisEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | blis==0.7.11 | runtime |
catalogueEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | catalogue==2.0.10 | runtime |
certifiEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | certifi==2024.8.30 | runtime |
charset-normalizerEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | charset-normalizer==3.4.0 | runtime |
clickEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | click==8.1.7 | runtime |
coloramaEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | colorama==0.4.6 | runtime |
confectionEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | confection==0.1.5 | runtime |
cymemEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | cymem==2.0.8 | runtime |
et-xmlfileEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | et-xmlfile==2.0.0 | runtime |
filelockEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | filelock==3.16.1 | runtime |
fsspecEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | fsspec==2024.10.0 | runtime |
greenletEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | greenlet==3.0.3 | runtime |
huggingface-hubEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | huggingface-hub==0.26.2 | runtime |
idnaEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | idna==3.10 | runtime |
Jinja2Environment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | Jinja2==3.1.4 | runtime |
joblibEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | joblib==1.4.2 | runtime |
langcodesEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | langcodes==3.5.0 | runtime |
language-dataEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | language-data==1.3.0 | runtime |
marisa-trieEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | marisa-trie==1.2.1 | runtime |
MarkupSafeEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | MarkupSafe==3.0.2 | runtime |
mpmathEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | mpmath==1.3.0 | runtime |
murmurhashEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | murmurhash==1.0.10 | runtime |
networkxEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | networkx==3.4.2 | runtime |
numpyEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | numpy==1.24.4 | runtime |
openpyxlEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | openpyxl==3.1.5 | runtime |
packagingEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | packaging==24.2 | runtime |
pandasEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | pandas==2.2.2 | runtime |
pathlib-abcEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | pathlib-abc==0.1.1 | runtime |
pathyEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | pathy==0.11.0 | runtime |
pillowEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | pillow==11.0.0 | runtime |
playwrightEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | playwright==1.46.0 | runtime |
preshedEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | preshed==3.0.9 | runtime |
pydanticEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | pydantic==1.10.19 | runtime |
pyeeEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | pyee==11.1.0 | runtime |
python-dateutilEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | python-dateutil==2.9.0.post0 | runtime |
pytzEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | pytz==2024.2 | runtime |
PyYAMLEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | PyYAML==6.0.2 | runtime |
regexEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | regex==2023.12.25 | runtime |
requestsEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | requests==2.32.3 | runtime |
safetensorsEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | safetensors==0.4.5 | runtime |
scikit-learnEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | scikit-learn==1.5.1 | runtime |
scipyEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | scipy==1.14.1 | runtime |
sentence-transformersEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | sentence-transformers==3.0.1 | runtime |
sixEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | six==1.16.0 | runtime |
smart-openEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | smart-open==6.4.0 | runtime |
soupsieveEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | soupsieve==2.6 | runtime |
spacyEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | spacy==3.5.0 | runtime |
spacy-legacyEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | spacy-legacy==3.0.12 | runtime |
spacy-loggersEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | spacy-loggers==1.0.5 | runtime |
srslyEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | srsly==2.4.8 | runtime |
sympyEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | sympy==1.13.1 | runtime |
thincEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | thinc==8.1.12 | runtime |
threadpoolctlEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | threadpoolctl==3.5.0 | runtime |
tokenizersEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | tokenizers==0.20.3 | runtime |
torchEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | torch==2.5.1 | runtime |
tqdmEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | tqdm==4.67.0 | runtime |
transformersEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | transformers==4.46.3 | runtime |
typerEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | typer==0.7.0 | runtime |
typing-extensionsEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | typing-extensions==4.12.2 | runtime |
tzdataEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | tzdata==2024.2 | runtime |
urllib3Environment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | urllib3==2.2.3 | runtime |
wasabiEnvironment{
"extras": "",
"marker": null,
"requires_python": ">=3.9",
"evaluation": "NOT_EVALUATED"
} | wasabi==1.1.3 | runtime |
bdist_wheel · 16.05 KB · Python py2.py3
Observed since 21 Oct, 09:08 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
package_version:939ddbbf835fca098155d9a85acf1e7e2971d430b9a59ecbdfd111656d1f5a0b