rift VS FLaNK-Edge

Compare rift vs FLaNK-Edge and see what are their differences.

rift

Rift: an AI-native language server for your personal AI software engineer (by morph-labs)
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rift FLaNK-Edge
4 2
3,009 1
0.5% -
8.9 6.7
6 months ago 11 months ago
Python Python
Apache License 2.0 Apache License 2.0
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.

rift

Posts with mentions or reviews of rift. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-14.

FLaNK-Edge

Posts with mentions or reviews of FLaNK-Edge. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-14.

What are some alternatives?

When comparing rift and FLaNK-Edge you can also consider the following projects:

awesome-data-temporality - A curated list to help you manage temporal data across many modalities 🚀.

sql-cli-for-apache-flink-docker - SQL CLI for Apache Flink® via docker-compose

kudu - Mirror of Apache Kudu

jdbc-connector-for-apache-kafka - Aiven's JDBC Sink and Source Connectors for Apache Kafka®

pytorch-forecasting - Time series forecasting with PyTorch

CML_AMP_Churn_Prediction_mlflow - Build an scikit-learn model to predict churn using customer telco data.

llama2.c - Inference Llama 2 in one file of pure C

databathing

label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format

incubator-fury - A blazingly fast multi-language serialization framework powered by JIT and zero-copy.

CML_AMP_MLFlow_Tracking - Experiment tracking with MLFlow.