Grafana is pretty great. There are a lot of built in connectors, but its ability to query arbitrary REST, JSON, oData etc endpoints along with databases makes it super flexible for what you mentioned.<p><a href="https://grafana.com/grafana/plugins/simpod-json-datasource" rel="nofollow">https://grafana.com/grafana/plugins/simpod-json-datasource</a><p>It has a great GUI for building queries, plus solid RBAC, great charting, and a very flexible alert system. Configure in their GUI, then get your dashboard's code in as JSON for deployment. You can also define dashboard in actual code, ie grafanalib in Python and others- which is great for DevOps. <a href="https://github.com/weaveworks/grafanalib" rel="nofollow">https://github.com/weaveworks/grafanalib</a><p>They have nice stylesheets ready for TV displays, but it gets really fun when users get their hands on it and can zoom in and drill down on time-series data, filter with dynamic parameters and such.
Take a look at <a href="https://anvil.works" rel="nofollow">https://anvil.works</a> - it's not just "low code", it's a full web-dev platform so simple that you can build a dashboard with a few lines of Python - front end, back end and drag-n-drop design. (I'm a founder.)<p>The trouble with "low-code" is that you're stuck on rails - it's very easy to do a few things, but the moment you want something the creators didn't anticipate, prepare for a lot of pain.<p>Anvil is the opposite approach - it's a <i>dev environment</i> that happens to be simple enough to build a dashboard in minutes, but with a Real Damn Programming Language. It's basically Delphi for the web: It's got a drag-n-drop designer, Python in the browser and on the server, code editor with full-stack autocomplete, etc.<p>(And unlike "low-code" tools, the runtime engine is open source, so you're not locked in: <a href="https://github.com/anvil-works/anvil-runtime" rel="nofollow">https://github.com/anvil-works/anvil-runtime</a>)
There are so many such solutions, that It depends on your use cases.<p>If you're looking for high-level dashboarding/monitoring that connects directly with your sources (REST, 3rd-party apps like Facebook, Adwords, etc), then tools in the realm of Klipfolio, Databox, Grow.com will suit you well. If you're looking for visualization tools that connect to your data-warehouse/SQL database, then BI tools like Holistics, Metabase, Redash, etc will likely work for you. And of course there's tools that can support both kinds of sources, like PowerBI and Google Data Studio.<p>P/s: This post does a good job at laying down a framework for evaluating these sort of BI tools: <a href="https://www.holistics.io/books/setup-analytics/navigating-the-business-intelligence-tool-space/" rel="nofollow">https://www.holistics.io/books/setup-analytics/navigating-th...</a>
Send metrics to AWS Cloudwatch as custom Metrics.<p><pre><code> aws cloudwatch put-metric-data
--metric-name registered_users
--namespace MySaaS
--value 241
</code></pre>
Visualize/Filter/Add Alerts using all the builtin tools from Amazon Cloudwatch, you will need no servers and no configurations. Just run in a cron job a set of queries every 5minutes
You can give <a href="https://chartbrew.com/" rel="nofollow">https://chartbrew.com/</a> a try if you wish. You can make the API requests in a Postman-like interface directly on the platform. So you can have live-data coming in as the tool makes the requests automatically for you.<p>You can also have multiple requests made to different services gathering data on the same chart.<p>Disclaimer: I'm the creator of the tool, so feel free to ask any questions about it and I'll be happy to answer
I looked into this recently, when I started writing the software to analyze my selftracking data.<p>After researching available options for a while and consulting everyone I know in this field, I settled on building on top of the Plotly Javascript library:<p><a href="https://plotly.com/javascript/" rel="nofollow">https://plotly.com/javascript/</a><p>It does nice interactive charts out of the box. All you need to do is throw data at it.<p>What it lacks are more high level operations like:<p>- Interactively switch between different chart types (lines, scatter, box plots, bar charts etc)<p>- Aggregate time series by hour/day/month/week/year<p>- Extrapolate data to the rest of the current time period<p>So I built this functionality on top of Plotly and I am happy with the result.<p>It looks like over time I will turn this into a mix of data studio and jupyter notebooks. But it runs in the browser and is simple and blazingly fast.
I really like Trevor.io<p><a href="https://trevor.io/" rel="nofollow">https://trevor.io/</a><p>It has nice gui for data exploration, clean charts and integrates really well with gsheets.<p>If you save the API calls in a database could use this?
Appsmith would work great! It’s an open source project with cloud hosting and self-hosting options. You can query any REST endpoint and use JS to aggregate the outputs to connect it to charts, tables or text components. Also use JS to change the query params when you use date or search filters.
(I’m a founder).<p><a href="https://github.com/appsmithorg/appsmith" rel="nofollow">https://github.com/appsmithorg/appsmith</a>
www.appsmith.com
I'm currently working on my own little dashboard SaaS - <a href="https://statsout.com/" rel="nofollow">https://statsout.com/</a><p>It doesn't have the functionality to perform custom REST calls yet but it's definitely on the list. For now you can get the basic metrics from Google Analytics, Search Console, Facebook Pages, Instagram, and Stripe. It's still very much in beta but you're welcome to try it.
If your dashboarding needs are as rudimentary as you describe, then Streamlit! <a href="https://www.streamlit.io/" rel="nofollow">https://www.streamlit.io/</a><p>I use it for my dashboards. It's super simple to prototype apps and it's under rapid development.
I'm currently working on a SaaS like this: <a href="https://www.rationalbi.com/" rel="nofollow">https://www.rationalbi.com/</a><p>It's meant to be a modern take on BI/Analytics, and sort of a blend between dashboards, scheduled reporting and notebook analytics (like Observable/Jupyter).<p>You can just drop in data files of any kind, syndicate data from your cloud drives, connect to remote databases, upload via the API, and it has 80k+ open datasets available for analysis and benchmarking.<p>It also has a full SQL database running in the browser, so if you build dynamic notebooks/dashboards with business logic, you can do really fast SQL without any network latencies.<p>Disclaimer: I'm the creator/founder of Rational BI.
Had investigated Apache Superset recently but was apparently in a to early stage for production
<a href="https://superset.apache.org/" rel="nofollow">https://superset.apache.org/</a><p>Definitely on my watch list though!
We don't work with rest calls - just directly with databases and SQL, but do take a look at chartio.com! We aim to make it as fast and agile as possible to make and collaborate on charts and dashboards with your team.
I'm working on a tool to build any sort of dashboard by just a couple of lines of JS. This is our YC application video <a href="https://www.youtube.com/watch?v=0XfCwXCPLcU&feature=youtu.be" rel="nofollow">https://www.youtube.com/watch?v=0XfCwXCPLcU&feature=youtu.be</a><p>We didn't get in (this time), but we are about to launch a beta soon. If someone is interested please send me an email at <username>@gmail.com - Thanks
Really looking forward to seeing the progress of causal[0]. Looks to me like they have a shot to become the best in class for interactive "dashboarding" in 2021. Imagine being able to do some on the fly scenario planning working from live data. Could be a game changer.<p>[0] - <a href="https://www.causal.app/" rel="nofollow">https://www.causal.app/</a>
Grow.com is a great low-code / no-code option.<p>Anyone can use the graphical transforms to 'write' SQL and you can pull all the data into the provided data warehouse so don't have to set that up.<p>Is is not cheap, but it is powerful. I work there, happy to answer any questions.
I recently evaluated a bunch and <a href="https://github.com/appsmithorg/appsmith" rel="nofollow">https://github.com/appsmithorg/appsmith</a> covered our needs. For building internal tools seems like a great alternative.
<i></i>Forest Admin<i></i>, if we're talking about more than dashboards/charts and you need to dig record deep to perform CRUD operations - <a href="https://www.forestadmin.com" rel="nofollow">https://www.forestadmin.com</a>
I'd recommend MintData (<a href="https://mintdata.com" rel="nofollow">https://mintdata.com</a>)<p>It lets you define your dashboard logic in a spreadsheet & then drag/drop the dashboard UI and publish it for end-user consumption.
Check out Superset. <a href="https://github.com/apache/incubator-superset" rel="nofollow">https://github.com/apache/incubator-superset</a><p>It’s modern, easy to extend. From the same author of apache airflow.
We used SumoLogic at my last job, really nice for dashboards IMHO, much easier than Grafana, it's log oriented but works with any structured data you throw at it.
I think it was expensive though.
If you want something more “hackable” (making changes on data, or use SSO), I recommend going with Abstra (<a href="https://abstra.app" rel="nofollow">https://abstra.app</a>)
What does the output look like?<p>I've recently had good luck streaming stuff from python into InfluxDB 2.0 - and that has built in basic charting / dashboard. Not grafana level fancy, but not bad either
We are working on a Blockchain SaaS (Zeeve - <a href="https://www.zeeve.io" rel="nofollow">https://www.zeeve.io</a>) to automate the complete DevOps and SecOps approach. Also to add up integrations with grafana, promethius etc for monitoring and analytic.
I personally used Redash in the past, and found it very easy to create dashboards and even customize our instance. Not sure how it’s evolved though since being bought out by Databricks.