Open source Weights & Biases alternatives

Every project in the catalog is MIT, Apache or BSD licensed. 0 projects explicitly describe themselves as a Weights & Biases alternative; 31 more are in the category where Weights & Biases is a typical product.

Open source projects in the same category: MLOps & AI Infrastructure

Category-level information: these projects are the same kind of software as Weights & Biases; they have not claimed to be a one-to-one replacement.

KE

keras

New80

keras-team · MLOps & AI Infrastructure

STARS64.4K
FORKS19.8K
COMMITS0
CONTRIBUTORS0
VERSIONv3.12.4
UPDATEDtoday
Data ScienceDeep LearningjaxMachine LearningApache-2.0

Common commercial products in this category: Weights & Biases, Amazon SageMaker, Databricks

What can it do?
  • Aynı Keras kodunu JAX, TensorFlow veya PyTorch üzerinde çalıştırabilirsin
  • Katman, model ve metrik gibi özel bileşenleri herhangi bir framework'te kullanabilirsin
  • Keras modelini yerel TensorFlow, JAX veya PyTorch eğitim döngüsünde eğitebilirsin
User reviews
  • • NeutralHacker News

    Introducing Keras 2

    “> Keras is so good that it is effectively cheating in machine learning, where even Tensorflow tutorials can be replaced with a single line of code. That's the way it "felt" to me when it was introduced in one of the lessons (then later used in a project) in the first term of the…”

  • ↑ PositiveHacker News

    Introducing Keras 2

    “Personally, I find Keras better than tflearn. But you need to know the fundamentals on TF and NNs (RNNs,LSTMs, etc...). Keras makes it easier to build on those concepts with less programming. I've found TFLearn to be slightly complicated. Both Keras and tflearn make it simpler…”

Verified against README · Oct 30, 2026 · source

LI

BerriAI · MLOps & AI Infrastructure

STARS62.4K
FORKS12.9K
COMMITS0
CONTRIBUTORS0
VERSION—
UPDATEDtoday
PythonLLM ProxyLoad BalancingAPI GatewayMIT (çekirdek) + ticari enterprise/

Common commercial products in this category: Weights & Biases, Amazon SageMaker, Databricks

What can it do?
  • You call the large language model over the face of different providers through a single unified interface.
  • Using Python SDK you provide direct library integration or distribute the proxy server as a central service.
  • By creating virtual keys, you perform an audit through the spending tracking and management panel.
Heads up
  • • High number of open issues (5,582)
  • • No published release
User reviews
  • • NeutralHacker News

    Compromised LiteLLM 1.107.0 on PyPI Installs a Credential Stealer and Backdoor

    “> Was `cook.pth` a dependency that got automatically downloaded from PyPI on install and then the build system put it into dependencies? This isn't the name of an entire package, but just a single file included in the package. .pth files are part of Python's import system. At…”

  • • NeutralHacker News

    Compromised LiteLLM 1.107.0 on PyPI Installs a Credential Stealer and Backdoor

    “If Claude's custom solution is less secure than LiteLLM there will be no news report informing you of a vulnerability.”

Verified against README · Oct 26, 2026 · source

RA

Ray

95

ray-project · MLOps & AI Infrastructure

STARS44.2K
FORKS8.2K
COMMITS—
CONTRIBUTORS1.6K
VERSIONray-2.9.3
UPDATEDtoday
PythonDistributedMl InfrastructureApache-2.0

Common commercial products in this category: Weights & Biases, Amazon SageMaker, Databricks

What can it do?
  • You run the Python code across the cluster with the actors (actor) holding status tasks (task) and status information.
  • You perform distributed machine learning training and hyperparameter setting with Ray Train and Tune libraries.
  • You make scalable and programmable model presentation with the Ray Serve component.
Heads up
  • • High number of open issues (3,699)
User reviews
  • ↑ PositiveHacker News

    R.I.P. Ray Bradbury, Author of Fahrenheit 451 and The Martian Chronicles

    “Great author, I am a fan of his Martian Chronicles the most, there are so many short stories of his that I have come across that picking favorites is not fair. Today CATO released an interesting story about Ray and the form of censoring he faced which is one many here would…”

  • • NeutralHacker News

    R.I.P. Ray Bradbury, Author of Fahrenheit 451 and The Martian Chronicles

    “"My favorite Ray Bradbury memory is the time he came to my school to talk about his books and ended up yelling at my English teach for trying to find hidden meaning that wasn't there just for the sake of busywork." Also authors have a subconscious.”

Verified against README · Oct 26, 2026 · source

LA

langfuse · MLOps & AI Infrastructure

STARS36.8K
FORKS4.1K
COMMITS0
CONTRIBUTORS0
VERSION—
UPDATEDtoday
TypeScriptNext.jsLLM MonitoringPrompt EngineeringMIT

Common commercial products in this category: Weights & Biases, Amazon SageMaker, Databricks

What can it do?
  • You examine and debug complex logs and user sessions.
  • You can manage and release it as a Prompt center and develop it together.
  • You make assessments with LLM-as-a-judge, code-based assessors, and user feedback.
Heads up
  • • High number of open issues (1,108)
  • • No published release
User reviews
  • • NeutralHacker News

    ClickHouse acquires Langfuse

    “Correct! Will be moving away immediately for this reason. Or well, technically incorrect, as someone will surely point out. US companies can be legally compliant with GDPR, it's just that the likes of the CLOUD Act and FISA make it completely meaningless. Before anyone comes in…”

  • • NeutralHacker News

    ClickHouse acquires Langfuse

    “Ive used Langfuse. It's completely unrelated to tools like Langchain and Autogen. It's just logging/tracing for LLMs. Sure they added stuff like "prompt management" and "epxeriments" etc. probably to keep investors happy but those are entirely optional sidedishes. The tools you…”

Verified against README · Oct 26, 2026 · source

ML

mlflow · MLOps & AI Infrastructure

STARS28.6K
FORKS6.6K
COMMITS—
CONTRIBUTORS1.1K
VERSIONv3.9.0rc0
UPDATEDtoday
PythonMLOpsExperiment TrackingApache-2.0

Common commercial products in this category: Weights & Biases, Amazon SageMaker, Databricks

What can it do?
  • You monitor costs and security by capturing full monitoring in your applications and agents.
  • Using over 50 built-in metrics and LLM referees, you run systematic assessments and track quality.
  • For all AI providers, you use a unified API gateway that directs requests.
Heads up
  • • High number of open issues (2,230)
User reviews
  • ↑ PositiveHacker News

    Who needs MLflow when you have SQLite?

    “Not convinced by the example. I don’t see how you can’t use standard scikit-learn for it. First, the example doesn’t take advantage of sklearn’s built in, super simple parallelization via n_jobs Then, the entire example could be better wrapped with sklearn’s own cross_validate()…”

  • ↑ PositiveHacker News

    Who needs MLflow when you have SQLite?

    “+1. I'd also like to note that it's very easy to get started with MLflow; our quickstart walks you through the process of installing the library, logging runs, and viewing the UI: . We'd love to work with the author to make MLflow Tracking an even better experiment tracking tool…”

Verified against README · Oct 26, 2026 · source

LA

HumanSignal · MLOps & AI Infrastructure

STARS28.6K
FORKS3.8K
COMMITS—
CONTRIBUTORS156
VERSIONv1.5.0post0
UPDATEDtoday
mlopsdata-labelingannotationpythonApache-2.0

Common commercial products in this category: Weights & Biases, Amazon SageMaker, Databricks

What can it do?
  • You label raw data in audio, text, video, and time series type
  • Export tagged data to different model formats
  • Customise tool to adapt to your custom datasets
Heads up
  • • High number of open issues (959)
User reviews
  • ↑ PositiveHacker News

    Label Studio v1.0

    “Excited to post about this, Label Studio – open source data labeling tool we've started working on more than a year ago is hitting v1.0 with a lot of new goodies. We originally started working on it due to the complexity of bringing ML systems to production. So much depends on…”

Verified against README · Oct 26, 2026 · source

PY

pyg-team · MLOps & AI Infrastructure

STARS24.1K
FORKS4.1K
COMMITS0
CONTRIBUTORS0
VERSION2.8.1
UPDATED9 days ago
Deep Learninggeometric-deep-learninggraph-neural-networkspytorchMIT

Common commercial products in this category: Weights & Biases, Amazon SageMaker, Databricks

What can it do?
  • 10-20 satır kodla bir GNN modeli eğitmeye başlayabilirsin
  • Çok sayıda küçük grafı veya tek dev grafı mini-batch yükleyicilerle işleyebilirsin
  • Milyonlarca düğümlü grafikler için ölçeklenebilir GNN'ler kullanabilirsin
Heads up
  • • Website is unreachable (checked: 2026-10-31)
  • • High number of open issues (1,384)
User reviews
  • ↑ PositiveGitHub Issue

    Link Prediction on Heterogeneous Graphs with Heterogeneous Graph Learning

    “### 🚀 The feature, motivation and pitch I am working with heterogeneous knowledge graphs and am trying to do link prediction on them. The specific issue I am facing is that I cannot find any working implementation that would allow me to do link prediction on a graph with…”

  • • NeutralGitHub Issue

    Issue reproducing the results of the original ecc implementation. Pooling layer and conv layer are giving different resu

    “As I mentioned in #319 I have problems to reproduce the [ecc implemenation]( using pytorch_geometric. I found some differences between the results obtained, first one is that the results of both convolution operations using the same weights have different results. Moreover, the…”

Verified against README · Oct 30, 2026 · source

ON

microsoft · MLOps & AI Infrastructure

STARS22.2K
FORKS4.4K
COMMITS—
CONTRIBUTORS921
VERSIONv1.9.1
UPDATEDtoday
mlopsInferenceonnxMachine LearningMIT

Common commercial products in this category: Weights & Biases, Amazon SageMaker, Databricks

What can it do?
  • You run deep learning frameworks such as PyTorch and TensorFlow, as well as models of classic libraries such as scicit-learn and XGBoost.
  • Using hardware accelerators, graphic optimizations, and transformations, you provide appropriate performance in the inference and training processes.
  • By adding a single line to your existing PyTorch training scripts, you speed up the multinode NVIDIA GPU training time of the transformer models.
Heads up
  • • High number of open issues (1,872)
User reviews
  • • NeutralHacker News

    ONNX Runtime merges WebGPU backend

    “Gonna respond here and correct both comments >Some context for those who aren't in the loop: ONNX Runtime ( ) is a standardization format for AI models. It's just an IR, one of many - every framework has its own. >Nowadays, it's extremely easy to export models in the ONNX…”

  • • NeutralHacker News

    ONNX Runtime merges WebGPU backend

    “Some context for those who aren't in the loop: ONNX Runtime ( ) is a standardization format for AI models. Nowadays, it's extremely easy to export models in the ONNX format, especially language models with tools like Hugging Face transformers which have special workflows for it.…”

Verified against README · Oct 26, 2026 · source

TF

tfjs

New64

tensorflow · MLOps & AI Infrastructure

STARS19.2K
FORKS2.0K
COMMITS0
CONTRIBUTORS0
VERSIONtfjs-v4.22.0
UPDATED4 mo ago
Deep Learningdeep-neural-networkgpu-accelerationjavascriptApache-2.0

Common commercial products in this category: Weights & Biases, Amazon SageMaker, Databricks

What can it do?
  • Tarayıcıda düşük seviyeli veya Layers API ile modeller oluşturabilirsin
  • Node.js'te aynı API ile çalışabilirsin
  • Mevcut TensorFlow modellerini dönüştürüp tarayıcıda çalıştırabilirsin
User reviews
  • ↓ NegativeHacker News

    Kanye West AI in JavaScript (React and TFJS)

    “This app has a memory leak where your worker threads are spawning out of control, causing browser slowdown and crashes. You can verify this in Chrome DevTools Source tab: after you click the Generate button, you can see the worker threads spawning out of control until you close…”

  • ↑ PositiveGitHub Issue

    Google Meet background segmentation model

    “**System information** - TensorFlow.js version (you are using): 2 - Are you willing to contribute it (Yes/No): No, it's not mine **Describe the feature and the current behavior/state.** [This Google AI blog post]( describes the background segmentation model used in Google Meet.…”

Verified against README · Oct 29, 2026 · source

KU

kubeflow · MLOps & AI Infrastructure

STARS15.9K
FORKS2.7K
COMMITS—
CONTRIBUTORS326
VERSIONv1.9.2
UPDATED1 mo ago
mlopskubernetesMachine LearningPipelineApache-2.0

Common commercial products in this category: Weights & Biases, Amazon SageMaker, Databricks

What can it do?
  • You can create your own AI platform using Kubeflow subprojects.
  • With Kubernetes-based projects, you can manage AI workflows in an integrated way.
  • Using components in a modular structure, you can prepare custom distributions to your needs.
SK

skypilot-org · MLOps & AI Infrastructure

STARS10.8K
FORKS1.3K
COMMITS0
CONTRIBUTORS0
VERSIONv0.14.1
UPDATEDtoday
cloud-computingcloud-managementcost-optimizationDeep LearningApache-2.0

Common commercial products in this category: Weights & Biases, Amazon SageMaker, Databricks

What can it do?
  • Kubernetes, Slurm veya 20'den fazla bulut genelinde GPU, TPU ve CPU kaynağını tek arayüzden başlatabilirsin
  • Ortamı ve işi kod olarak tanımlayıp taşınabilir şekilde çalıştırabilirsin
  • Birçok işi kuyruğa alabilir, otomatik kurtarma ile yönetebilirsin
Heads up
  • • High number of open issues (521)

Verified against README · Oct 30, 2026 · source

ME

Netflix · MLOps & AI Infrastructure

STARS10.3K
FORKS1.4K
COMMITS—
CONTRIBUTORS136
VERSIONrec_0_0_1
UPDATEDyesterday
PythonMLOpsNetflixApache-2.0

Common commercial products in this category: Weights & Biases, Amazon SageMaker, Databricks

What can it do?
  • Using Python API, you develop rapid prototypes in the local environment.
  • In cloud infrastructure, you scale computing using CPU and GPU resources.
  • By managing dependencies, you distribute workflows to orchestrators in the production environment.
Heads up
  • • High number of open issues (531)
User reviews
  • • NeutralHacker News

    Metaflow, Netflix's Python framework for data science, is now open source

    “Good question! A typical Metaflow workflow at Netflix starts by reading data from our data warehouse, either by executing a (Spark)SQL query or by fetching Parquet files directly from S3 using the built-in S3 client. We have some additional Python tooling to make this easy (see…”

  • • NeutralHacker News

    Metaflow, Netflix's Python framework for data science, is now open source

    “Orchestrating a workflow, which is what Dagster does, is just one part of Metaflow. Other important parts are dependency management, cloud integration, state transfer, inspecting and organizing results - features that are central to data science workflows. Metaflow helps data…”

DA

darts

New80

unit8co · MLOps & AI Infrastructure

STARS9.6K
FORKS1.1K
COMMITS0
CONTRIBUTORS0
VERSION0.48.1
UPDATEDtoday
anomaly-detectionData ScienceDeep LearningforecastingApache-2.0

Common commercial products in this category: Weights & Biases, Amazon SageMaker, Databricks

What can it do?
  • fit() ve predict() ile klasik ve derin öğrenme tahmin modellerini aynı şekilde kullanabilirsin
  • Modelleri backtest edip birden fazla modelin tahminlerini birleştirebilirsin
  • Anomali skorlayıcılarıyla (darts.ad) zaman serilerinde anomali tespit edebilirsin
User reviews
  • • NeutralHacker News

    Darts: A Python library for easy manipulation and forecasting of time series

    “Hi! I'm one core developer (and creator) of the library. Thanks for all the comments. I just wanted to highlight a couple of things that we think are quite cool about Darts: * It makes using all sorts of forecasting models (from ARIMA to deep learning) easy, using fit() and…”

  • ↑ PositiveHacker News

    Darts: A Python library for easy manipulation and forecasting of time series

    “I love to see more time series models becoming available in an easy-to-use format. There's always been such a gap between what is possible and what is convenient to use, much moreso than with other kinds of models. This was also one of the areas where R always had better options…”

Verified against README · Oct 29, 2026 · source

CO

cog

New80

replicate · MLOps & AI Infrastructure

STARS9.5K
FORKS697
COMMITS0
CONTRIBUTORS0
VERSIONv0.23.1
UPDATED2 days ago
AIcontainerscudadockerApache-2.0

Common commercial products in this category: Weights & Biases, Amazon SageMaker, Databricks

What can it do?
  • Basit bir cog.yaml ile modelin Docker ortamını tanımlayıp imajı üretebilirsin.
  • CUDA, cuDNN, PyTorch ve TensorFlow uyumluluğunu Cog'a bırakabilirsin.
  • Girdi ve çıktıları standart Python ile tanımlayıp OpenAPI şeması ürettirebilirsin.

Verified against README · Oct 29, 2026 · source

BE

bentoml · MLOps & AI Infrastructure

STARS8.9K
FORKS1.1K
COMMITS3.8K
CONTRIBUTORS238
VERSIONv1.4.8
UPDATED2 days ago
PythonModel ServingLLMApache-2.0

Common commercial products in this category: Weights & Biases, Amazon SageMaker, Databricks

What can it do?
  • You can convert any AI model into a REST API server using Python.
  • You can optimize the use of CPU and GPU resources with dynamic batching and model parallel features.
  • By managing model dependencies and versions, you can create and distribute Docker containers into production.
User reviews
  • • NeutralHacker News

    Show HN: BentoML goes 1.0 – A faster way to ship your models to production

    “I've tried BentoML recently and it worked for me far better than torchserve workflows. There are some early version flaws (documentation, changing API), but the community is very responsive on Github and on BentoML Slack. btw: BentoML stands on its own legs and definitely…”

  • ↑ PositiveHacker News

    Show HN: BentoML goes 1.0 – A faster way to ship your models to production

    “BentoML is an amazing tool that allows you to quickly and easily deploy your machine learning models as APIs. It is extremely user-friendly and easy to use, and the results are amazing. I highly recommend BentoML for anyone who wants to deploy their machine learning models…”

EV

evidentlyai · MLOps & AI Infrastructure

STARS8.0K
FORKS963
COMMITS—
CONTRIBUTORS97
VERSIONv0.7.9
UPDATED1 mo ago
PythonMl MonitoringData QualityApache-2.0

Common commercial products in this category: Weights & Biases, Amazon SageMaker, Databricks

What can it do?
  • You can create data quality and performance reports for predictive and productive AI models.
  • By defining test sets, you can perform automatic pass/stay checks in the CI/CD processes or data verification stages.
  • Using the tracking interface, you can visualize the metrics of the ML and LLM systems with their changes over time.
User reviews
  • • NeutralHacker News

    Launch HN: Evidently AI (YC S21) – Track and Debug ML Models in Production

    “Thanks for the support! For the moment the workflows you describe are built externally: - To set notifications you can send the output from Evidently to other tools like Grafana and then build a notification workflow around it. If you have a batch model, you can use some…”

  • • NeutralHacker News

    Launch HN: Evidently AI (YC S21) – Track and Debug ML Models in Production

    “True, we do not want to force users into a rigid workflow. We build the tool so it can integrate with other parts of the ML stack. Right now you can for example use Evidently to calculate if the model has drifted, and then log the results in a JSON format, or take only some…”

H2

h2o-3

New55

h2oai · MLOps & AI Infrastructure

STARS7.5K
FORKS2.0K
COMMITS0
CONTRIBUTORS0
VERSION—
UPDATED9 days ago
automlbig-dataData ScienceDeep LearningApache-2.0

Common commercial products in this category: Weights & Biases, Amazon SageMaker, Databricks

What can it do?
  • Python veya R'dan pip/CRAN ile kurup dağıtık makine öğrenmesi modelleri eğitebilirsin
  • H2O AutoML ile modelleri otomatik eğitip karşılaştırabilirsin
  • Modelleri POJO veya MOJO biçiminde dışa aktarıp üretimde hızlı skorlayabilirsin
Heads up
  • • High number of open issues (2,852)
  • • No published release

Verified against README · Oct 30, 2026 · source

VL

vllm-project · MLOps & AI Infrastructure

STARS7.4K
FORKS2.0K
COMMITS0
CONTRIBUTORS0
VERSIONv0.30.0
UPDATEDtoday
audio-generationDiffusionimage-generationInferenceApache-2.0

Common commercial products in this category: Weights & Biases, Amazon SageMaker, Databricks

What can it do?
  • Qwen3-Omni gibi omni modaliteli modelleri servis edebilirsin
  • Metin, görüntü, ses, video ve eylem verisini tek çıkarım çatısında işleyebilirsin
  • Diffusion Transformer gibi otoregresif olmayan modelleri vLLM üzerinde çalıştırabilirsin
Heads up
  • • High number of open issues (1,832)

Verified against README · Oct 30, 2026 · source

CL

clearml

New75

clearml · MLOps & AI Infrastructure

STARS6.9K
FORKS809
COMMITS0
CONTRIBUTORS0
VERSIONv2.1.12
UPDATEDyesterday
AIclearmlcontrolDeep LearningApache-2.0

Common commercial products in this category: Weights & Biases, Amazon SageMaker, Databricks

What can it do?
  • Deneylerini, ortamlarını ve sonuçlarını otomatik takip edebilirsin
  • Herhangi bir deneyi tek tıkla uzak bir işe dönüştürebilirsin
  • Nesne depolama üzerinde veri setlerini sürümleyebilirsin
Heads up
  • • High number of open issues (521)
User reviews
  • • NeutralHacker News

    Trains – ClearML open source MLOPs platform new release and name change

    “I'm not sure if this is the sort of thing that will gain traction here, but we just changed the name of a 2k-star repo, so it is certainly news. 1. ClearML (formerly trains) is a ML/DL development and production suite, it contains three main modules: Experiment Manager -…”

  • • NeutralGitHub Issue

    UI suggested changes

    “a few suggestions : 1. Name sometimes meaningless as description of run 2. When names are identical there should be a way to differentiate 3. Can't associate to job ID (which is the way to tell in TB). 4. See only the beginnings of long strings, but the ending is much more…”

Verified against README · Oct 30, 2026 · source

KS

kserve

New80

kserve · MLOps & AI Infrastructure

STARS6.2K
FORKS1.8K
COMMITS0
CONTRIBUTORS0
VERSIONv0.21.0
UPDATEDtoday
artificial-intelligencecncfgenaihacktoberfestApache-2.0

Common commercial products in this category: Weights & Biases, Amazon SageMaker, Databricks

What can it do?
  • Kubernetes üzerinde LLM'leri vLLM veya llm-d ile servis edebilirsin
  • OpenAI uyumlu çıkarım protokolüyle LLM'lere mevcut istemcilerinle bağlanabilirsin
  • TensorFlow, PyTorch, scikit-learn, XGBoost ve ONNX modellerini aynı platformda sunabilirsin
User reviews
  • • NeutralHacker News

    ML-on-Edge and Beyond Using Snaps, KServe and Kubeflow

    “In this article using Snapcraft, MicroK8s and KServe, Rafał builds a secure, scalable and self-updating ML on the Edge delivery system for a device fleet running UbuntuCore.”

Verified against README · Oct 29, 2026 · source