-
python3-appium-python-client-4.0.0-1.lbn36.noarch
Appium Python Client[.
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-assemblyai-0.35.1-1.lbn36.noarch
AssemblyAI's Python SDK
Build with AI models that can transcribe and understand audio
With a single API call, get access to AI models built on the latest AI breakthroughs to transcribe and understand audio and speech data securely at large scale.
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-astra-assistants-2.2.12-1.lbn36.noarch
astra-assistants
Astra Assistants is a drop in replacement for OpenAI's assistant API that supports the full Assistants v2 API (including streaming and vector_stores). This python library wraps the OpenAI SDK with additional capabilities and provides syntactic sugar for passing credentials for third party LLMs.
How to use
Install astra_assistants using your python package manager of choice:
poetry add astra_assistants
import and patch your client:
from openai import OpenAI
from astra_assistants import patch
client = patch(OpenAI())
Server
The astra-assistants server code is now open source (Apache2)!
Check it out here https:/github.com/datastax/astra-assistants-api
Authentication
Provide api keys for third party LLMs via environment variables. We support LLM completions through litellm and support litellm environmental variables and models.
Rename the .env.bkp to .env and fill in the appropriate values for the LLMs you want to use.
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-astra-assistants+tools-2.2.12-1.lbn36.noarch
This is a metapackage bringing in tools extras requires for
python3-astra-assistants.
It makes sure the dependencies are installed.
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-astrapy-2.0.1-1.lbn36.noarch
AstraPy
A pythonic client for DataStax Astra DB.
This README targets AstraPy version 1.0.0+, which introduces a whole new API.
Click here for the pre-existing API (fully compatible with newer versions).
Quickstart
Install with pip install astrapy.
Get the API Endpoint and the Token to your Astra DB instance at astra.datastax.com.
Try the following code after replacing the connection parameters:
import astrapy
ASTRA_DB_APPLICATION_TOKEN = "AstraCS:..."
ASTRA_DB_API_ENDPOINT = "https:/01234567-....apps.astra.datastax.com"
my_client = astrapy.DataAPIClient()
my_database = my_client.get_database(
ASTRA_DB_API_ENDPOINT,
token=ASTRA_DB_APPLICATION_TOKEN,
)
my_collection = my_database.create_collection(
"dreams",
dimension=3,
metric=astrapy.constants.VectorMetric.COSINE,
)
my_collection.insert_one({"summary": "I was flying", "$vector": [-0.4, 0.7, 0]})
my_collection.insert_many(
[
{
"_id": astrapy.ids.UUID("018e65c9-e33d-749b-9386-e848739582f0"
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-asyncer-0.0.8-1.lbn36.noarch
Asyncer, async and await, focused on developer experience.
Documentation: https:/asyncer.tiangolo.com
Source Code: https:/github.com/fastapi/asyncer
Asyncer is a small library built on top of AnyIO.
Asyncer has a small number of utility functions that allow working with async, await, and concurrent code in a more convenient way under my (@tiangolo - Sebastián Ramírez) very opinionated and subjective point of view.
The main goal of Asyncer is to improve developer experience by providing better support for autocompletion and inline errors in the editor, and more certainty that the code is bug-free by providing better support for type checking tools like mypy.
Asyncer also tries to improve convenience and simplicity when working with async code mixed with regular blocking code, allowing to use them together in a simpler way... again, under my very subjective point of view.
🚨 Warning
This small library only exists to be able to use these utility functions until (and if) they
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-beniget-0.4.2.post1-2.lbn36.noarch
A static analyzer for Python2 and Python3 code.Beniget provides a static over-
approximation of the global and local definitions inside Python
Module/Class/Function. It can also compute def-use chains from each definition.
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-cassio-0.1.10-1.lbn36.noarch
cassIO
A framework-agnostic Python library to seamlessly integrate Apache Cassandra with ML/LLM/genAI workloads.
Note: this is currently an alpha release.
Users
Installation is as simple as:
pip install cassio
For example usages and integration with higher-level LLM frameworks
such as LangChain, please visit cassio.org.
CassIO developers
Setup
To develop cassio, we use poetry
pip install poetry
Use poetry to install dependencies
poetry install
Use cassio current code in other Poetry base projects
If the integration is Poetry-based (e.g. LangChain itself), you should get this
in your pyproject.toml:
cassio = {path = "../../cassio", develop = true}
Then you do
poetry remove cassio # if necessary
poetry lock --no-update
poetry install -E all --with dev --with test_integration # or similar, this is for langchain
Inspired from this.
You also need a recent Poetry for this to work.
Versioning
We are still at 0.*. Occasional breaking changes are to be
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-clickclick-20.10.2-1.lbn36.noarch
Click Click .. image::
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-clickhouse-connect-0.6.23-1.lbn36.x86_64
ClickHouse ConnectA high performance core database driver for connecting
ClickHouse to Python, Pandas, and Superset * Pandas DataFrames * Numpy Arrays *
PyArrow Tables * Superset Connector * SQLAlchemy 1.3 and 1.4 (limited feature
set)ClickHouse Connect currently uses the ClickHouse HTTP interface for maximum
compatibility. Installation pip install clickhouse-connect ClickHouse
Connect...
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
