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Roapi Alternatives
Similar projects and alternatives to roapi
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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react-admin
A frontend Framework for building data-driven applications running on top of REST/GraphQL APIs, using TypeScript, React and Material Design
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dasel
Select, put and delete data from JSON, TOML, YAML, XML and CSV files with a single tool. Supports conversion between formats and can be used as a Go package.
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dsq
Commandline tool for running SQL queries against JSON, CSV, Excel, Parquet, and more.
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pREST
PostgreSQL ➕ REST, low-code, simplify and accelerate development, ⚡ instant, realtime, high-performance on any Postgres application, existing or new
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differential-dataflow
An implementation of differential dataflow using timely dataflow on Rust.
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Apache Drill
Apache Drill is a distributed MPP query layer for self describing data (by apache)
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php-parquet
Discontinued PHP implementation for reading and writing Apache Parquet files/streams. NOTICE: Please migrate to https://github.com/codename-hub/php-parquet.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better roapi alternative or higher similarity.
roapi reviews and mentions
Posts with mentions or reviews of roapi.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-25.
- Full-fledged APIs for slowly moving datasets without writing code
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Tuql: Automatically create a GraphQL server from a SQLite database
If your use case is read-only I suggest taking a look at roapi[1]. It supports multiple read frontends (GraphQL, SQL, REST) and many backends like SQLite, JSON, google sheets, MySQL, etc.
- Who is using AXUM in production?
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Ask HN: Best way to provide access to large data sets
For smaller datasets then anywhere up to a few mb which isn't so bad reasonable with an API but in theory for historic data it could be up to several gb. I've not seen datasette go that high (IIRC it's a 1000 row return limit by default).
That's what got me intrigued with Atlassians offering, as data lakes tend to be something internal to a company, not something I've ever seen offered as an interaction point to users.
I've also tested out roapi [1] which is nice if the data is in some structured format already (Parquet/JSON)
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"thread 'main' panicked at 'no CA certificates found'", when running application in docker container
https://github.com/roapi/roapi/issues/103?
- Roapi 0.9 release adds support for all cloud storage providers
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SQLite-based databases on the Postgres protocol? Yes we can
Very cool and well executed project. Love the sprinkle of Rust in all the other companion projects as well :)
The ROAPI(https://github.com/roapi/roapi) project I built also happened to support a similar feature set, i.e. to expose sqlite through a variety of remote query interfaces including pg wire protocols, rest apis and graphqls.
- Using Rust to write a Data Pipeline. Thoughts. Musings.
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PostgREST – Serve a RESTful API from Any Postgres Database
> why not just accept SQL and cut out all the unnecessary mapping?
You might be interested in what we're building: Seafowl, a database designed for running analytical SQL queries straight from the user's browser, with HTTP CDN-friendly caching [0]. It's a second iteration of the Splitgraph DDN [1] which we built on top of PostgreSQL (Seafowl is much faster for this use case, since it's based on Apache DataFusion + Parquet).
The tradeoff for allowing the client to run any SQL vs a limited API is that PostgREST-style queries have a fairly predictable and low overhead, but aren't as powerful as fully-fledged SQL with aggregations, joins, window functions and CTEs, which have their uses in interactive dashboards to reduce the amount of data that has to be processed on the client.
There's also ROAPI [2] which is a read-only SQL API that you can deploy in front of a database / other data source (though in case of using databases as a data source, it's only for tables that fit in memory).
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Command-line data analytics made easy
It could be the NDJSON parser (DF source: [0]) or could be a variety of other factors. Looking at the ROAPI release archive [1], it doesn't ship with the definitive `columnq` binary from your comment, so it could also have something to do with compilation-time flags.
FWIW, we use the Parquet format with DataFusion and get very good speeds similar to DuckDB [2], e.g. 1.5s to run a more complex aggregation query `SELECT date_trunc('month', tpep_pickup_datetime) AS month, COUNT(*) AS total_trips, SUM(total_amount) FROM tripdata GROUP BY 1 ORDER BY 1 ASC)` on a 55M row subset of NY Taxi trip data.
[0]: https://github.com/apache/arrow-datafusion/blob/master/dataf...
[1]: https://github.com/roapi/roapi/releases/tag/roapi-v0.8.0
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A note from our sponsor - WorkOS
workos.com | 18 Apr 2024
Stats
Basic roapi repo stats
24
3,069
6.9
25 days ago
roapi/roapi is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of roapi is Rust.
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