nvidia-patch
This patch removes restriction on maximum number of simultaneous NVENC video encoding sessions imposed by Nvidia to consumer-grade GPUs. (by Snawoot)
faunadb-python
Python driver for FaunaDB v4 (by fauna)
| nvidia-patch | faunadb-python | |
|---|---|---|
| 4 | 2 | |
| 46 | 124 | |
| - | 0.0% | |
| 10.0 | 4.5 | |
| over 2 years ago | 5 months ago | |
| Python | Python | |
| - | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
nvidia-patch
Posts with mentions or reviews of nvidia-patch.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-04.
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Plex Hardware Transcoding, Explained
If they're using a consumer grade nvidia GPU I would recommend suggesting they use this driver patch to remove the artificial session limit on transcodes that nvidia enforces. https://github.com/Snawoot/nvidia-patch
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My opinion
GeForce cards are limited to 3 NVENC sessions, you can bypass the restriction by modifying the driver so it thinks it's a Quadro.
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Hardware Acceleration (You guys probable get alot of these types of questions)
I use a 1650 myself and it works great, and it's worth noting that there is a very simple driver hack that removes the artificial 3 simultaneous encoding limit on consumer cards.
faunadb-python
Posts with mentions or reviews of faunadb-python.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-02.
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How I Built a Resume Builder with Django and Fauna
To enable Django to interact with Fauna, a secret key is required by the Fauna Driver. To do this, navigate to the Security tab in Fauna’s dashboard side menu, click on the New Key button and provide the information required as seen in the images below:
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Python for FaunaDB
The source code for the driver can be found here
What are some alternatives?
When comparing nvidia-patch and faunadb-python you can also consider the following projects:
patchy - :anchor: Patch the inner source of python functions at runtime.
faunadb-js - Javascript driver for FaunaDB v4
LOLDrivers - Living Off The Land Drivers
psycopg - New generation PostgreSQL database adapter for the Python programming language
KatawaShoujoHD - Unofficial HD patch for visual novel Katawa Shoujo.
pocketbase - PocketBase client SDK for python
nvidia-patch - This patch removes restriction on maximum number of simultaneous NVENC video encoding sessions imposed by Nvidia to consumer-grade GPUs.
faunadb-swift - Swift driver for FaunaDB
vertica-python - Official native Python client for the Vertica Analytics Database.
FAUNA_RESUME_BUILDER