Devin Bjelland's repositories
gnucash-fiximports
Additional developments on the original gnucash-fiximports
amazon-kinesis-client
Client library for Amazon Kinesis
bio-aggr-tda
Summer Research - Topological data analysis of biological aggregation
brancol-react-snackbar
React Tailwind Snackbar
bson
Independent BSON codec for Python that doesn't depend on MongoDB.
cordova-supercollider
Cordova Plugin for Supercollider
Jam-Session
Our Class Project
chakra-ui-simple-autocomplete
A simple autocomplete for Chakra UI
cloudbees-ephemeral-agents
Docker images to use with Cloudbees Core's ephemeral agent feature.
CoinTaxes
This will make a TurboTax import file (txf) and fill out IRS form 8949 with Coinbase, GDAX, and Bittrex data
Craft
A simple Minecraft clone written in C using modern OpenGL (shaders).
dbjellan.github.io
Personal Website
django-mutant
Dynamic model definition and alteration (evolving schemas)
django-web3-auth
A pluggable Django app that enables login/signup via an Ethereum wallet (a la CryptoKitties)
djangorestframework-simplejwt
A JSON Web Token authentication plugin for the Django REST Framework.
docker-luigid
Luigi Central Scheduler Server on Docker
docker-swarm-node-exporter
An extension of official node exporter so that it includes the real IP and node id in metrics
ethereum-etl
Python scripts for ETL (extract, transform and load) jobs for Ethereum blocks, transactions, ERC20 / ERC721 tokens, transfers, receipts, logs, contracts, internal transactions. Data is available in Google BigQuery https://goo.gl/oY5BCQ
kinesis_producer
Python producer for AWS Kinesis Stream with record aggregation (Work In Progress)
material-table
Datatable for React based on material-ui's table with additional features
moto
Moto is a library that allows your python tests to easily mock out the boto library
openapi-generator
OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3)
stack
A set of Terraform modules for configuring production infrastructure with AWS
tensorflow
Computation using data flow graphs for scalable machine learning