ts-json-schema-generator
Snowplow
Our great sponsors
ts-json-schema-generator | Snowplow | |
---|---|---|
11 | 21 | |
1,303 | 6,734 | |
3.6% | 0.4% | |
9.1 | 8.7 | |
7 days ago | about 1 month ago | |
TypeScript | Scala | |
MIT License | Apache License 2.0 |
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.
ts-json-schema-generator
-
Automating API Documentation: A Journey from TypeScript to OpenAPI and Schema Governence with Optic
3. Generate JSON schemas with the ts-json-schema-generator package
-
Is using zod as the primary source of truth for Typescript types sensible/sustainable?
We user ts-json-schema-generator to create the schemas directly from TS types.
-
Validating JSON parser that uses TS as the spec format?
I’ve been using this one: https://github.com/vega/ts-json-schema-generator most recently and it’s been great
-
Transpiling Typescript into Rust
Maybe this vscode extension can work for you. It can turn Json samples into structs. this can help you turn typescript to Json. Maybe you can automate it.
-
Game engine in web - part 2 - data oriented system
Now we have to parse the JSON containing our scene and validate that this JSON is valid according to what we expect. For that we are going to use the JSON Schema along with ts-json-schema-generator to generate said schema automatically and ajv to validate JSON against the generated schema.
-
Is there a tool to visualize all of the value-types of a highly abstracted interface/type?
If the output format isn’t important you could use ts-json-schema-generator - it doesn’t work with everything but it’s pretty good at outputting a json schema structure for interfaces and types.
-
Anyone using decorators, or some other form of inline documentation, to generate an openapi spec file based on a typescript library?
https://github.com/grantila/typeconv/ https://github.com/airtasker/spot https://github.com/vega/ts-json-schema-generator
- TypeScript runtime type-checking - designed for simple use, through to enforcing API payload schema
-
Testing in production: using JSON Schema for 3rd party API response validation
Most people do not write JSON Schema by hand. Typescript is one of the popular tools: https://github.com/vega/ts-json-schema-generator
-
Is it possible to create an array union types as values?
Such as with https://github.com/vega/ts-json-schema-generator#current-state
Snowplow
-
Open-source data collection & modeling platform for product analytics
We’ve also thought about Ops :-). There’s a backend 'Collector' that stores data in Postgres, for instance to use while developing locally, or if you want to get set up quickly. But there’s also full integration with Snowplow, which works seamlessly with an existing Snowplow setup as well.
-
What are the different ways to collect large amounts of data, like millions of rows?
Sure thing! Say you run an online store. Your source systems could be the inventory, orders or customer databases. You could also track click/site behavior with something like snowplow. An ERP system is essentially just a combination of what I mentioned previously. Another good example is a CRM such as Salesforce or Zendesk. Hopefully that helps!
-
What companies/startups are using Scala (open source projects on github)?
There are so many of them in big data, e.g. Kafka, Spark, Flink, Delta, Snowplow, Finagle, Deequ, CMAK, OpenWhisk, Snowflake, TheHive, TVM-VTA, etc.
-
We should start looking for google analytics alternatives
I added Snowplow Analytics to a site with a lot of traffic. It was a very basic implementation, where data is collected with Snowplow, stored in google big query, and visualized in google data studio. The data is collected from the caching/web server combined with a client-side tracker.
-
The Big Data Game – Because even a simple query can send you on an unexpected journey. Help the 8-bit data engineer to get the data
Well if you have to structure and create Schema and manage Data Warehouses, you need a tool to do that, so in the background you see SnowPlow, which helps you do just that. Make the data into some kind of sensible structure so that later on business analysts can come see whats up. Want to do a quarterly report on how you performed, go to the application that goes to the data warehouse and builds your report for you. Want to compare to other similar companies in the portfolio to see how they are performing, same story. Data scientists will build and structure the data and store it and manipulate it and extract the value from it so that the analysts and sales people can then come in and do some selling. Show the customers what they got for their money and guarantee the renewal.
-
Click tracking solution for links and buttons on website
if you want self host, check out https://github.com/snowplow/snowplow
-
Reference Data Stack for Data-Driven Startups
We also have telemetry set up on our Monosi product which is collected through Snowplow,. As with Airbyte, we chose Snowplow because of its open source offering and because of their scalable event ingestion framework. There are other open source options to consider including Jitsu and RudderStack or closed source options like Segment. Since we started building our product with just a CLI offering, we didn’t need a full CDP solution so we chose Snowplow.
- Austrian Data Protection Authority declares Google Analytics as not compliant with GDPR. Decision relevant for almost all EU websites.
-
Ask HN: Best alternatives to Google Analytics in 2021?
https://matomo.org
That's the only full featured open source competitor I am aware of, so it should be mentioned.
https://snowplowanalytics.com/
Somewhat FOSS. There was a story there, but I don't remember the details.
-
Cookie-based tracking is dead
I added Snowplow Analytics to a site with a lot of traffic. It was a very basic implementation, where data is collected with Snowplow, stored in google big query, and visualized in google data studio. The data is collected from the caching/web server combined with a 1st part cookie set in the user's browser.
What are some alternatives?
zod-to-json-schema - Converts Zod schemas to Json schemas
PostHog - 🦔 PostHog provides open-source product analytics, session recording, feature flagging and A/B testing that you can self-host.
typebox - Json Schema Type Builder with Static Type Resolution for TypeScript
Rudderstack - Privacy and Security focused Segment-alternative, in Golang and React
ajv - The fastest JSON schema Validator. Supports JSON Schema draft-04/06/07/2019-09/2020-12 and JSON Type Definition (RFC8927)
Matomo - Empowering People Ethically with the leading open source alternative to Google Analytics that gives you full control over your data. Matomo lets you easily collect data from websites & apps and visualise this data and extract insights. Privacy is built-in. Liberating Web Analytics. Star us on Github? +1. And we love Pull Requests!
typescript-json-validator - Automatically generate a validator using JSON Schema and AJV for any TypeScript type.
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
typeconv - Convert between JSON Schema, TypeScript, GraphQL, Open API and SureType
jitsu - Jitsu is an open-source Segment alternative. Fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days
zod - TypeScript-first schema validation with static type inference
Druid - Apache Druid: a high performance real-time analytics database.