Alternatives
Products that do what Okapi – a metrics engine based on open data formats does
Hi All I wanted to share an early preview of Okapi an in-memory metrics engine that also integrates with existing datalakes. Modern software systems produce a mammoth amount of telemetry. While we can discuss whether or not this is necessary, we can all agree that it happens. Most metrics engines today use proprietary formats to store data and don’t use disaggregated storage and compute. Okapi changes that by leveraging open data formats and integrating with existing data lakes. This makes it possible to use standard OLAP tools like Snowflake, Databricks, DuckDB or even Jupyter / Polars…
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Hey, I'm Martyn and I recently joined Zuplo. OpenAPI is a huge part of what we do, but getting a document up to scratch out of the gate, especially if you're not super well versed in the actual specification and what you should use and when. So we built a suite of tools to help with this called Rate My OpenAPI. It will score your OpenAPI document out of 100, as well as giving you individual scores in 4 key areas; completeness, SDK generation, security and documentation. Along with the score, you also get details of what the issues, or errors are, as well as guidance on what they actually…
2024 · github.com
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We just released a major upgrade to SigNoz with support for Logs management based on ClickHouse. Would love to get any feedback from the community here on what you think and any questions you may have for us Many big companies like Uber and Cloudflare have been shifting to ClickHouse as their main workhorse for Logs management seeing much better performance. for e.g Cloudflare recently shifted from Elastic to ClickHouse and are seeing 8x improvement in memory/cpu resource requirement in ingestion. This is our first release with Logs support and we have added support for: - Filtering…
2022 · github.com
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Hey HN, I'm Adithya, a 20-year-old dev from India. I have been working with GenAI for the past year, and I've found it really painful to deal with the many different forms of data out there and get the best representation of it for my AI applications. That's why I built OmniParse—an open-source platform designed to handle any unstructured data and transform it into optimized, structured representations. Key Features: - Completely local processing—no external APIs - Supports ~20 file types - Converts documents, multimedia, and web pages to high-quality structured markdown - Table extraction,…
2024 · github.com
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Hi HN community, I’m Nick, co-founder/CEO of Transform.co. I’m thrilled to share MetricFlow, an open-source metric creation framework: https://github.com/transform-data/metricflow MetricFlow strives to make what has historically been an extremely repetitive process, writing SQL queries on core normalized data models, much more DRY. MetricFlow consolidates the definitions for joins, aggregations, filters, etc., and programmatically generates SQL to construct data marts. You can think of it like LookML, but more powerful and ergonomic (and open source!). The project…
2022 · github.com
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Every data pipeline job I had to tackle required quite a few components to set up: - One tool to ingest data - Another one to transform it - If you wanted to run Python, set up an orchestrator - If you need to check the data, a data quality tool Let alone this being hard to set up and taking time, it is also pretty high-maintenance. I had to do a lot of infra work, and while this being billable hours for me I didn’t enjoy the work at all. For some parts of it, there were nice solutions like dbt, but in the end for an end-to-end workflow, it didn’t work. That’s why I decided to build an…
2024 · github.com
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A few months ago, I benchmarked FastAPI on an i9 MacBook Pro. I couldn't believe my eyes. A primary REST endpoint to `sum` two integers took 6 milliseconds to evaluate. It is okay if you are targeting a server in another city, but it should be less when your client and server apps are running on the same machine. FastAPI would have bottleneck-ed the inference of our lightweight UForm neural networks recently trending on HN under the title "Beating OpenAI CLIP with 100x less data and compute". (Thank you all for the kind words!) So I wrote another library. It has been a while since I have…
2023 · github.com
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Hello folks, We are launching OpenObserve. An open source Elasticsearch/Splunk/Datadog alternative written in rust and vue that is super easy to get started with and has 140x lower storage cost compared to elasticsearch. It offers logs, metrics, traces, dashboards, alerts, functions (run aws lambda like functions during ingestion and query to enrich, redact, transform, normalize and whatever else you want to do. Think redacting email IDs from logs, adding geolocation based on IP address, etc). You can do all of this from the UI, no messing up with configuration files. OpenObserve…
2023 · github.com
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2025 · github.com
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2023 · typeapi.org
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Uptrace is an all-in-one tool that supports distributed tracing, metrics, and logs. It uses OpenTelelemetry observability framework to collect data and ClickHouse database to store it. You can ingest data using OpenTelemetry Protocol (OTLP), Vector Logs, and Zipkin API. You can also use OpenTelemetry Collector to collect Prometheus metrics or receive data from Jaeger, X Ray, Apache, PostgreSQL, MySQL and many more. The latest Uptrace release introduces support for OpenTelemetry Metrics which includes: - User interface to build table-based and grid-based dashboards. - Pre-built dashboard…
2022 · app.uptrace.dev
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Hi! One of the creators here. Very proud to finally be able to show you what we've been working on for over a year now. Curious to hear your thoughts! Objectiv is open-source (APLv2) product analytics infrastructure. It's built around a generic but strict event taxonomy, open/common data- and infra tools (currently PG, snowplow, working on bigquery with more to come), and the analyses are done using our pandas-like, SQL speaking modeling library called Bach. As a result, we’re moving towards a vision wherein models can be shared openly, independent of product, platform[1] or data…
2022 · objectiv.io
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Hey HN! We've developed OpenAPI AutoSpec, a tool for automatically generating OpenAPI specifications from localhost network traffic. It’s designed to simplify the creation of API documentation by just using your website or service, especially useful when you're pressed for time. Documenting endpoints one by one sucks. This project originated from us needing it at our past jobs when building 3rd-party integrations. It acts as a local server proxy that listens to your application’s HTTP traffic and automatically translates this into OpenAPI 3.0 specs, documenting endpoints, requests, and…
2024 · github.com
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2022 · lineapy.org
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Hi there, Burak here. I built an open-source data copy tool called ingestr (https://github.com/bruin-data/ingestr) I did build quite a few data warehouses both for the companies I worked at, as well as for consultancy projects. One of the more common pain points I observed was that everyone had to rebuild the same data ingestion bit over and over again, and each in different ways: - some wrote code for the ingestion from scratch to various degrees - some used off-the-shelf data ingestion tools like Fivetran / Airbyte I have always disliked both of these approaches,…
2024 · github.com
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Hello HN! My co-founder, Vijay and I are excited to open up Oodle for everyone. We used to be observability geeks at Rubrik. Our metrics bills grew like 20x over 4 years. We tried to control spend by getting better visibility, blocking high cardinality labels like pod_id, cluster_id, and customer_id. But that made debugging issues complicated. App engineers hated blocking metrics, and blocking others' code reviews was not fun for platform engineers either! Migrations (and lock-ins) were very painful, the first migration from Influx to Signalfx took 6+ months and the second migration from…
2024 · blog.oodle.ai
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Hey HN, I am the founder of Tensorlake. Prototyping LLM applications have become a lot easier, building decision making LLM applications that work on constantly updating data is still very challenging in production settings. The systems engineering problems that we have seen people face are - 1. Reliably process ingested content in real time if the application is sensitive to freshness of information. 2. Being able to bring in any kind of model, and run different parts of the pipeline on GPUs and CPUs. 3. Fault Tolerance to ingestion spike, compute infrastructure failure. 4. Scaling compute,…
2024 · getindexify.ai
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Hey HN, Nir, Gal and Tomer here. We’re open-sourcing a set of extensions we’ve built on top of OpenTelemetry that provide visibility into LLM applications - whether it be prompts, vector DBs and more. Here’s the repo: https://github.com/traceloop/openllmetry. There’s already a decent number of tools for LLM observability, some open-source and some not. But what we found was missing for all of them is that they were closed-protocol by design, vendor-locking you to use their observability platform or their proprietary framework for running your LLMs. It’s still early in the…
2023 · github.com
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A lightweight engine for durable execution / deterministic workflows I built with Rust, wasmtime and the WASM Component Model. Its main use is running reliable, long-running workflows that can automatically resume after failures. Looking for feedback on the approach and potential use cases!
2025 · obeli.sk
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Hey there! This is Dan and Ustin (@uzarubin), and we want to share something cool we've been working on for the past year - an open-source `tail -f` for your data, with a UI. We call it "Streamdal" which is a word salad for streaming systems (because we love them) and DAL or data access layer (because we’re nerds). Here's the repo: https://github.com/streamdal/streamdal Here's the site: https://streamdal.com And here's a live demo: https://demo.streamdal.com (github repo has an explanation of the demo) — — — THE PROBLEM We built this because the…
2023 · github.com
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