pyDag VS recommendation-system

Compare pyDag vs recommendation-system and see what are their differences.

pyDag

Scheduling Big Data Workloads and Data Pipelines in the Cloud with pyDag (by Wittline)
Big Data Bigquery Cloud Dag data-engineering data-pipeline dataengineering dataproc dataproc-cluster directed-acyclic-graph google-cloud google-cloud-platform parallel-processing task-scheduler task-scheduling Workflow engine
Source Code
wittline.github.io
Suggest alternative
Edit details

recommendation-system

Build a Content-Based Movie Recommender System (TF-IDF, BM25, BERT) (by Wittline)
tf-idf bm25 Bert recommender-system text-analysis NLP Python recsys Word2vec
Source Code
wittline.github.io
Suggest alternative
Edit details
InfluxDB
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
Our great sponsors
pyDag recommendation-system
2 1
24 10
- -
0.0 3.6
over 1 year ago almost 2 years 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.

pyDag

Posts with mentions or reviews of pyDag. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-15.

recommendation-system

Posts with mentions or reviews of recommendation-system. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-15.

What are some alternatives?

When comparing pyDag and recommendation-system you can also consider the following projects:

distance-metrics - Distance metrics are one of the most important parts of some machine learning algorithms, supervised and unsupervised learning, it will help us to calculate and measure similarities between numerical values expressed as data points

PolyFuzz - Fuzzy string matching, grouping, and evaluation.

docker-livy - Dockerizing and Consuming an Apache Livy environment

rank_bm25 - A Collection of BM25 Algorithms in Python

livyc - Apache Spark as a Service with Apache Livy Client

pubsub2inbox - Pubsub2Inbox is a versatile, multi-purpose tool to handle Pub/Sub messages and turn them into email, API calls, GCS objects, files or almost anything.

p_tqdm - Parallel processing with progress bars

Dropout-Students-Prediction - The goal of this project is to identify students at risk of dropping out the school

breaking_cycles_in_noisy_hierarchies - breaking cycles in noisy hierarchies

pyspark-on-aws-emr - The goal of this project is to offer an AWS EMR template using Spot Fleet and On-Demand Instances that you can use quickly. Just focus on writing pyspark code.

pyDag vs distance-metrics recommendation-system vs PolyFuzz pyDag vs docker-livy recommendation-system vs rank_bm25 pyDag vs livyc recommendation-system vs distance-metrics pyDag vs pubsub2inbox recommendation-system vs docker-livy pyDag vs p_tqdm recommendation-system vs Dropout-Students-Prediction pyDag vs breaking_cycles_in_noisy_hierarchies recommendation-system vs pyspark-on-aws-emr