Ilum
Gigasheet
Cloudera CDH
Apache Spark
Databricks
Snowflake
Google Cloud Dataproc
Apache Flink
Codacy
SonarQube
CodeClimate
CodeFactor.io
ESLint
Coveralls
SensioLabs Insight
codebeat
Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a data lakehouse platform designed to simplify data management and analytics for data engineers. With support for Kubernetes, YARN, and hybrid setups, Ilum adapts to your infrastructure, making it easy to manage and scale your workloads. Key features include: Modular Architecture: Pre-integrated tools like Apache Superset, dbt, Jupyter Notebooks, and MLflow are ready to use. Spark Integration: Run Spark jobs with a built-in UI, REST API, and out-of-the-box Spark History Server. Manage clusters, schedule jobs, and tweak configurations. Multi-Cluster Support: Connect multiple clusters, compare performance, or isolate environments for teams. Data Lineage: Automatically track every data transformation using the Open Lineage standard, ensuring transparency and compliance. SQL Editor: Query using Delta, Iceberg, Hudi, or Spark SQL. Visualize results and manage data directly within the platform. BI Integration: Connect tools like Tableau, PowerBI, and Apache Superset through a JDBC interface, enabling fast, scalable analytics.
Whether youโre processing petabytes of data or running small-scale analytics, Ilum provides a unified, scalable platform. Built by data engineers for data engineers, itโs free to use with premium support options available.
Codacy automates code reviews and monitors code quality on every commit and pull request reporting back the impact of every commit or pull request, issues concerning code style, best practices, security, and many others. It monitors changes in code coverage, code duplication and code complexity. Saving developers time in code reviews thus efficiently tackling technical debt. JavaScript, Java, Ruby, Scala, PHP, Python, CoffeeScript and CSS are currently supported. Codacy is static analysis without the hassle.
Ilum CodacyBased on our record, Codacy seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I'm trying to use Codacy to review my code. One of the issues is regarding the use of the "setcookie" function. Source: over 4 years ago
Does anyone have an example on how to get this conversion done on github actions where I can convert the *.coverage file into a *.xml file for uploading to codacy.com. Source: about 5 years ago
Online analysisFinally, if you want a simple way to analyze your code without having to manually configure everything locally, you can use an online code review service such as Codacy (shameless plug here). We already integrate some of the mentioned detection tools in this article and we are working every day to improve the service. The other main benefit of using automated code review tools is to allow you to... - Source: dev.to / over 5 years ago
Because you care and because you always want to be better, automation is a great way to optimize your review workflow process. Go ahead and do a quick search on Google for automated code reviews and see who better fits your workflow. You'll find Codacy on your Google search and we hope you like what we do. - Source: dev.to / over 5 years ago
Gigasheet - The cloud spreadsheet built for big data.
SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
Cloudera CDH - Imagine what your business could do if all your data were collected in one centralized, secure, fully-governed place that any department could access anytime.
CodeClimate - Code Climate provides automated code review for your apps, letting you fix quality and security issues before they hit production. We check every commit, branch and pull request for changes in quality and potential vulnerabilities.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
CodeFactor.io - Automated Code Review for GitHub & BitBucket
