juli1
Now: engineer @DataDog Before: founder @codiga Former Software Engineer @twitter. Ex @AWS EBS, Carnegie Mellon University, and European Space Agency.
@datadogNew-York
Pinned Repositories
datadog-static-analyzer
Datadog Static Analyzer
aadl-book
Model and examples for the AADL book. More on http://julien.gunnm.org/aadl-book
emfta
EMF-based Fault-Tree Analysis Tool
flask-chat
A simple chat in flask
lostrunner
3d Game on Android
ml-resources
Resources to Learn Machine Learning
rust-playground
rust-webserver
A webserver in rust
scala-cookbook
over-documented #scala code sample for beginner
twitter-bot-rs
A Twitter bot written in Rust
juli1's Repositories
juli1/dash24-demo
juli1/juli1.github.io
juli1 personal website
juli1/go-playground
Patterns for Learning Go
juli1/NYU-DL-2020
Deep Learning Class of NYU 2020
juli1/secrets-rules
juli1/ml-resources
Resources to Learn Machine Learning
juli1/agent-payload
Payload format description for communication between the agent and the Datadog backend
juli1/BenchmarkUtils
OWASP Benchmark Project Utilities - Provides scorecard generation and crawling tools for Benchmark style test suites.
juli1/build-and-test-close-the-deal
juli1/dash24-keynote
juli1/datadog-static-analyzer-test
Datadog Static Analyzer
juli1/dataflow-experiments
foobarbaz
juli1/dd-sa-dockerfile
juli1/demo-yaml
juli1/juli1
juli1/owasp-utils
juli1/playground
juli1/product-microservice
juli1/redux-4
Predictable state container for JavaScript apps
juli1/rosie
Rosie code analyzer from Codiga
juli1/rosie-tests
juli1/sbom-generator
tree-sitter SBOM generator
juli1/sca-playground
juli1/service-catalog-integration-test
test for service catalog integration
juli1/taiga-back
juli1/tdb-github-action
A GitHub action for TDB analysis
juli1/tdb-test
VS Code plugin that suggests code blocks as you type and check for errors. Works for JavaScript, TypeScript, Python, Java, Scala, Ruby, PHP, Apex, Docker
juli1/tree-sitter-debug
juli1/tree-sitter-playground
juli1/twitter-reloaded
Twitter Reloaded is a Twitter clone project built using Django, Python, and SQLite. The project aims to implement core Twitter features, such as creating tweets, replying to tweets, and displaying tweets as threads.