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Airtable’s core stack is written using JavaScript, augmented with static type checking and other tools. We use Node.js on the backend, and mostly React on the frontend, but our application requirements drive a substantial amount of custom software architecture; that is, Airtable is pretty far from a boilerplate “React + Express” application. Mobile apps are currently native and use JavaScript in webviews where appropriate. Our data infrastructure, which drives our data science and business intelligence efforts, is primarily in Python. We periodically evaluate adding other languages into our codebase for ecosystem or performance reasons; philosophically, we try hard to standardize on a few languages and toolchains so that investments in tooling can be leveraged across larger fractions of our engineering effort. Our production infrastructure runs on a variety of AWS services, principally using Terraform for deployment; for logging, aggregation, monitoring, and alerting, we use a mixture of ELK and some carefully selected third-party services.

Infrastructure: AWS, Cloudwatch, Kubernetes, Ingress, Helm, Route53, Nginx, Jenkins, Sentry, RDS / PostgreSQL, Redis, Istio.

Backend: Python 3, Flask, Redis, RDS / PostgreSQL, Peewee, Nginx, Kubernetes, Docker.

Frontend: TypeScript, Vue.js, Capacitor, SASS, Vuetify.

NextJS, React, Typescript, GraphQL, Kafka, Python, Django

Frontend: React Native (TypeScript), React (TypeScript). Backend: Django + Celery (Python), Redis, Heroku, AWS S3, AWS Aurora (PostgreSQL).

We use Python and PostgreSQL on our backend. On our frontend plugins, we use Javascript and React.

Programming: Python, Flask, pipenv, JSON Data: PostgreSQL, Vault, ActiveMQ Infrastructure: Docker, Terraform, Ansible, AWS, Linux, immutable

On the backend, our stack runs on Python3 in combination with GraphQL, on top of AWS infrastructure like Lambda & ApiGateway, to deliver the best experience and value to our customers.

On the frontend, we currently have three clients: web, iOS, and Android. Our existing web stack is an AngularJS (also known as Angular 1) app, within which we have (more recently, i.e. past year) been writing React components. The new stack is entirely React, written in Typescript, and includes modern libraries for things like state management, api requests, analytics, and error handling. It’s also built in such a way that we can package it as a native iOS/Android app, getting us closer to our goal of writing ~once while deploying on all 3 platforms. The iOS stack is Objective C and Swift and the Android’s stack is Java and Kotlin.

Google Cloud Platform, Linux, Golang, Python, Docker, Kubernetes, Helm, and Terraform

Rails 5.2, Ruby 2.3.7, Python, R, PostgreSQL 9.6, React 0.17, AWS, Docker, RabbitMQ, Sidekiq, Snowflake

Go, Kotlin, Python, Typescript

Python, Django, React JS, AWS

Swift, React.JS, TypeScript, GraphQL, Node, Python, ECS, PostgresSQL & Redis, largely hosted at AWS.

Data stack: SQL & Redshift, Airflow, Python, Kinesis, Spark, Sagemaker.

Python, C++, C#, Java, JavaScript, Go, SQL, Ruby, Perl

Frontend: Typescript, React… Backend: Python…

React.js, React Native, Typescript, Python, Zappa, Serverless Framework, Django, AWS, PostgreSQL, Kinesis, S3, Glue, Jest, Selenium, Pytest

Core: Python Frontend: react, typescript, 3js Backend: PostgresQL, AWS 3D graphics: openGL, C++

Python, Docker, AWS, Django, Postgresql, numpy, scipy, matplotlib, Jupyter, ZMQ, tensorflow (and more)

Python, JavaScript, Ruby, Unix, Linux, React.js, Ruby-on-Rails, Ajax, Docker, SQL, Apache, Amazon-web-services, DataDog

At Noyo our primary tech stack is Python/Flask for our backend services (typically on top of PostgreSQL); our frontend web applications are built using React. We are a cloud-native company, we deploy everything on Google Cloud Platform via a combination of Kubernetes and serverless applications.

We have a service oriented stack deployed on AWS using containers. Most of our backend services are written in Go, with the exception of an NLP/ML service written in Python. Services talk to each other using gRPC.

Our web application is served statically from Cloudfront/S3 and is written using React. It is a Progressive Web App, with a service worker to speed up delivery.

We integrate with third party software such as Google Drive, Calendar, Jira, GitHub, Asana, Slack. These areas are some of the most complex parts of our systems. They’re also some of the most important: integrations enable the “magic” of a user coming to Range in the morning and seeing all of their work from the previous day already gathered in one place.

Python (using Flask / SQLAlchemy), PostgreSQL, React/Redux, Android (native, Kotlin), AWS

AWS, DynamoDB, Go, InfluxDB, Kubernetes (EKS), PostgreSQL, Python, ReactJS 16+ (Hooks), Swift, Terraform

Rails API, Ruby, Python, Postgres, PostGIS, React.js, Redux, Typescript, Heroku, AWS, Terraform

APIs & Services: python+flask, thrift for API specification.

Backend infrastructure: AWS tools (S3, SQS, SNS, etc.). Graylog for logging. Cloudwatch, Icinga, PagerDuty for monitoring. Jenkins for CI/CD. Airbrake for exception monitoring.

Releasing: Regular releases from master twice weekly + Out-of-cycle releases when needed to facilitate the roll-out of specific features.

Mobile: Kotlin is our primary language for our native Android apps. Swift3 is our primary language for our native iOS apps.

Front-end Web: React, hooks, redux, typescript & modern javascript.

Python for our backend code, and the code that runs on the reactors. ES6 and Typescript on the frontend. We use React embedded into a flask site. We have a few different APIs, but we primarily use GraphQL.

Node.js / Typescript, Python, React, Postgres, GraphQL with Hasura, BigQuery (columnar), PyTorch, Pandas, Jupyter, Spark, PySpark, Keras + Tensorflow, XGBoost, LightGBM, Kubernetes, Docker, GCP

Javascript, Python, Django

Web: PHP, JavaScript, TypeScript, React/Redux, MySQL, Docker, and Elixir.

Mobile: Kotlin, Swift, Java, Objective-C, React Native, and Electron.

Systems: Docker, Nginx, PHP, C, Lua, MySQL, MongoDB, Node.js, Statsd, Graphite, Prometheus, Elasticsearch, Logstash, Hadoop, MogileFS, HDFS, and BGP.

Data: Hive, Impala, HBase, Spark, HDFS, Python, Java, Scala, Kafka, Elasticsearch, MySQL, Solr, and Lucene.

Python, Flask, Javascript, React, HTML/CSS, Sass, React Native, Expo, GraphQL, Postgres, Redis, Heroku, AWS

Python, Flask, React, React Native, AWS, Postgres, Redis, Docker, Terraform, PyTorch

We put a lot of care into how we ship code. Shipping fast starts with serious investment in tooling, like continuous deployment with multiple pushes per day. Shipping sustainably is about more than just effective work – it requires commitment to creating an environment where people can focus and get creative. Our tech stack includes:

React JS, TypeScript, Scala, Node.js, AWS, Graphite, Redis, DynamoDb, Kubernetes, MySQL, Python, Amazon Redshift, Swift, Kotlin, GraphQL, Swagger, ZooKeeper, Envoy

JavaScript, PHP, Python, Rails, MySQL, MariaDB, PostgreSQL, Docker, Heroku, Digital Ocean, Svelte, Laravel, Django

Python, Airflow, Docker (Marathon/Mesos), Snowflake (currently migrating from Redshift), Databricks (Spark on EC2), GitHub, Kafka, Segment.io, Fivetran, AWS (S3, Kinesis Firehose)

We believe in choosing technologies pragmatically, balancing tradeoffs between widespread support, power, and accessibility. Our primary language is Python, augmented with C/C++, PyTorch, and other extensions. We use code tools like Bazel, mypy, and automatic formatters to reduce the cognitive overhead of our work, and ops tools like Docker and Salt to automate operational burdens. Our code runs in a variety of environments, including AWS, Google Cloud, professionally-hosted private clouds, and most importantly, on our own servers at customer sites. We collaborate and document our work with Slack, GitHub, Jira, and Confluence.

Web - Node, React, Python, PostgreSQL.

Mobile - React Native, Swift (iOS) / Java (Android).

React, Node.js, Python, Java

Our core application tech is built in Python/Django/DRF, Backbone.js/Marionette, React/Redux, Node.js/ShareDB, WebRTC and websockets. We deploy to AWS with EKS, Docker, Terraform, and Chef.