near-data-science
PyPI Package - near-data-science
Installation
pip install near-data-science
Usage
from near_data_science import NearDataScienceTool
tool = NearDataScienceTool()
result = tool.invoke({"query": "check_status", "account_id": "alice.near"})
print(result)
Async
result = await tool.ainvoke({"query": "check_status", "account_id": "alice.near"})
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for near-data-science 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| near_data_science-0.1.0.tar.gz | 2.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| near_data_science-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.4 kB
Release files / near_data_science-0.1.0.tar.gz
| Download URL | near_data_science-0.1.0.tar.gz |
|---|---|
| Size | 2.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.4
|
Release files / near_data_science-0.1.0-py3-none-any.whl
| Download URL | near_data_science-0.1.0-py3-none-any.whl |
|---|---|
| Size | 2.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.4
|
