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  5. LanceDB vs TensorFlow.js

LanceDB vs TensorFlow.js

OverviewComparisonAlternatives

Overview

TensorFlow.js
TensorFlow.js
Stacks184
Followers378
Votes18
GitHub Stars19.0K
Forks2.0K
LanceDB
LanceDB
Stacks3
Followers4
Votes0
GitHub Stars7.9K
Forks635

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Detailed Comparison

TensorFlow.js
TensorFlow.js
LanceDB
LanceDB

Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API

It is an open-source database for vector search built with persistent storage, which greatly simplifies retrieval, filtering, and management of embeddings.

-
Production-scale vector search with no servers to manage; Store, query, and filter vectors, metadata, and multi-modal data (text, images, videos, point clouds, and more); Native Python and Javascript/Typescript support; Zero-copy, automatic versioning, manage versions of your data without needing extra infrastructure
Statistics
GitHub Stars
19.0K
GitHub Stars
7.9K
GitHub Forks
2.0K
GitHub Forks
635
Stacks
184
Stacks
3
Followers
378
Followers
4
Votes
18
Votes
0
Pros & Cons
Pros
  • 6
    Open Source
  • 5
    NodeJS Powered
  • 2
    Deploy python ML model directly into javascript
  • 1
    Cost - no server needed for inference
  • 1
    Easy to share and use - get more eyes on your research
No community feedback yet
Integrations
JavaScript
JavaScript
TensorFlow
TensorFlow
Tasker
Tasker
LlamaIndex
LlamaIndex
DuckDB
DuckDB
JavaScript
JavaScript
LangChain
LangChain
TypeScript
TypeScript
Pandas
Pandas
Python
Python

What are some alternatives to TensorFlow.js, LanceDB?

TensorFlow

TensorFlow

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

scikit-learn

scikit-learn

scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

PyTorch

PyTorch

PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.

Keras

Keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/

Kubeflow

Kubeflow

The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions.

Polyaxon

Polyaxon

An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications.

Streamlit

Streamlit

It is the app framework specifically for Machine Learning and Data Science teams. You can rapidly build the tools you need. Build apps in a dozen lines of Python with a simple API.

MLflow

MLflow

MLflow is an open source platform for managing the end-to-end machine learning lifecycle.

H2O

H2O

H2O.ai is the maker behind H2O, the leading open source machine learning platform for smarter applications and data products. H2O operationalizes data science by developing and deploying algorithms and models for R, Python and the Sparkling Water API for Spark.

PredictionIO

PredictionIO

PredictionIO is an open source machine learning server for software developers to create predictive features, such as personalization, recommendation and content discovery.

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