The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
Nitro Alternatives
Similar projects and alternatives to nitro
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text-generation-webui
A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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FLiPStackWeekly
FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more...
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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dns.toys
A DNS server that offers useful utilities and services over the DNS protocol. Weather, world time, unit conversion etc.
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nitro
Next Generation Server Toolkit. Create web servers with everything you need and deploy them wherever you prefer.
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metal-cpp
Metal-cpp is a low-overhead C++ interface for Metal that helps developers add Metal functionality to graphics apps, games, and game engines that are written in C++.
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bionic-gpt
BionicGPT is an on-premise replacement for ChatGPT, offering the advantages of Generative AI while maintaining strict data confidentiality
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nnl
a low-latency and high-performance inference engine for large models on low-memory GPU platform.
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durdraw
Versatile ASCII and ANSI Art text editor for drawing in the Linux/Unix/macOS terminal, with animation, 256 and 16 colors, Unicode and CP437, and customizable themes
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better nitro alternative or higher similarity.
nitro reviews and mentions
Posts with mentions or reviews of nitro.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-24.
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Ollama Python and JavaScript Libraries
I'd like to see a comparison to nitro https://github.com/janhq/nitro which has been fantastic for running a local LLM.
- FLaNK Weekly 08 Jan 2024
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Nitro: A fast, lightweight 3MB inference server with OpenAI-Compatible API
Look... I appreciate a cool project, but this is probably not a good idea.
> Built on top of the cutting-edge inference library llama.cpp, modified to be production ready.
It's not. It's literally just llama.cpp -> https://github.com/janhq/nitro/blob/main/.gitmodules
Llama.cpp makes no pretense at being a robust safe network ready library; it's a high performance library.
You've made no changes to llama.cpp here; you're just calling the llama.cpp API directly from your drogon app.
Hm.
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Look... that's interesting, but, honestly, I know there's this wave of "C++ is back!" stuff going on, but building network applications in C++ is very tricky to do right, and while this is cool, I'm not sure 'llama.cpp is in c++ because it needs to be fast' is a good reason to go 'so lets build a network server in c++ too!'.
I mean, I guess you could argue that since llama.cpp is a C++ application, it's fair for them to offer their own server example with an openai compatible API (which you can read about here: https://github.com/ggerganov/llama.cpp/issues/4216, https://github.com/ggerganov/llama.cpp/blob/master/examples/...).
...but a production ready application?
I wrote a rust binding to llama.cpp and my conclusion was that llama.cpp is pretty bleeding edge software, and bluntly, you should process isolate it from anything you really care about, if you want to avoid undefined behavior after long running inference sequences; because it updates very often, and often breaks. Those breaks are usually UB. It does not have a 'stable' version.
Further more, when you run large models and run out of memory, C++ applications are notoriously unreliable in their 'handle OOM' behaviour.
Soo.... I know there's something fun here, but really... unless you had a really really compelling reason to need to write your server software in c++ (and I see no compelling reason here), I'm curious why you would?
It seems enormously risky.
The quality of this code is 'fun', not 'production ready'.
- Apple Silicon Llama 7B running in docker?
- Is there any LLM that can be installed with out python
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A note from our sponsor - WorkOS
workos.com | 27 Apr 2024
Stats
Basic nitro repo stats
7
1,572
9.8
4 days ago
janhq/nitro is an open source project licensed under GNU Affero General Public License v3.0 which is an OSI approved license.
The primary programming language of nitro is C++.
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