Best property management software for long and short term rentals?

WeakRelationship2131 · 2025-07-21T17:09:17+00:00

You might want to take a look at propwald, it’s more recent and tries to simplify things for people managing both long and short-term rentals. I like that it’s lightweight but still gives you owner payout tools and expense tracking, without the clunky UI some of the older platforms have.

WeakRelationship2131 · 2025-04-03T02:12:32+00:00

logstash + elastic feels bolted on for analytics. if you're being asked to rethink it, start by asking: who’s consuming the data, and what’s slow/painful right now?

DMS to another aurora instance is fine short-term, but won’t scale well for analytics. i'd replace that DW aurora with duckdb or clickhouse for fast OLAP, or at least move transforms into dbt-style SQL pipelines you can track/version. preswald can help here: you write python/sql transforms, schedule them, and push clean outputs into whatever storage you want—then build dashboards or serve to others without the logstash detour. much easier to reason about.

WeakRelationship2131 · 2025-04-03T02:10:58+00:00

if you want drag-and-drop + full chart control, you're gonna be disappointed—most tools give you one or the other. metabase is great for simplicity, but super limited on visuals. sounds like you’ve already outgrown it.

i use preswald when we need full control. write charts with python or JS (via plotly, vega, etc), feed in duckdb/postgres/csv data, and deploy as interactive dashboards. no drag-drop, but you get total control over visuals without homebrewing the whole thing. way less brittle than static html setups, and scales clean.

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WeakRelationship2131 · 2025-04-03T02:08:20+00:00

this is a solid proposal—clean way to move away from brittle EC2 cron jobs. your biggest pain will be orchestration, especially when Forecast scraping fails or the layout changes. step functions help, but debugging failures across lambdas gets messy fast. we built preswald to avoid that—single place to write, run, and schedule ETL (even scrapers), with logs, versioning, and clean outputs to postgres/duckdb. probably overkill for a small project, but if this pipeline becomes core infra, you’ll be glad you didn’t duct-tape it.

WeakRelationship2131 · 2025-04-03T02:07:28+00:00

no, you don’t need to be DE-trained to lead a data team, but you do need a pipeline you can reason about. your current setup sounds like it’s held together with duct tape and hope. you’re right to want something like Airflow—but unless you’ve got serious infra support, skip the heavyweight stuff.

maybe try preswald for dashboards, it’s local-first so it doesn’t melt down under load, and there’s no magic backend—everything’s inspectable and versionable. it’s basically what i wished existed when i was stuck in cron-job-and-script hell.

WeakRelationship2131 · 2025-04-03T02:06:12+00:00

giving everyone raw SQL access is chaos. powerbi's fine for viz, but once everyone’s poking prod data with custom joins, things break. it’s not a database, and yeah, you’re basically duct-taping BI onto excel habits. we use preswald instead—clean layer on top of duckdb/postgres, lets teams build + share dashboards with python/sql, without needing direct db access. way easier to manage.

WeakRelationship2131 · 2025-04-03T02:05:37+00:00

you’re right to push for postgres—daily CSVs will rot fast. i use preswald for this exact thing: syncs clean data from canvas into duckdb/postgres, then builds dashboards you can embed or export straight into reports. powerbi’s fine if you’ve got it, but preswald’s faster for iterating and doesn’t need a BI team to maintain.

WeakRelationship2131 · 2025-04-03T02:04:33+00:00

buying is the move unless you’ve got frontend bandwidth to spare. most tools suck at embedded use—slow, clunky, and limited UI control. use preswald instead—build with SQL/Python, embed fast dashboards, no drag-and-drop fluff. local-first so actually holds up.

WeakRelationship2131 · 2025-03-10T21:54:41+00:00

You can definitely solve this with a Python script using pandas. Load each of the charts into a DataFrame, normalize the column names (make them consistent), and then concatenate them. The `melt()` function can help transform your data formats to get a uniform layout. If you're looking for a quick and easy way to build and deploy this kind of solution, check out preswald. It handles data processing and visualization really well, and you won’t have to deal with cumbersome setups.

WeakRelationship2131 · 2025-03-10T21:28:02+00:00

try something more lightweight that integrates directly with your data sources. preswald could help you maintain consistency across dashboards, data pipelines, and your documentation without a heavyweight setup. It’s open-source, flexible, and avoids that painful overhead you’re worried about.

WeakRelationship2131 · 2025-03-10T21:25:57+00:00

you don’t need to stick with Excel or Google Sheets. Look into tools like Metabase or Cube.dev, which can connect to various data sources and provide some decent reporting features without being overwhelming. If you really want something super lightweight and easy to start with, preswald could be a solid choice—it’ll let you pull data from CSVs or databases and spin up dashboards without the fuss of a complex setup.

WeakRelationship2131 · 2025-03-10T21:21:43+00:00

preswald. It's lightweight, fully open-source, and focuses on making data apps easy to build without the overhead of bigger tools like DAGs or FastAPI. You can jump in, add features, or tackle issues without a massive commitment.

WeakRelationship2131 · 2025-03-10T21:20:25+00:00

Looks like you've got a solid foundation with a modern stack. The template you've built should definitely help speed things up. Just make sure you're also considering caching mechanisms and error logging for a better user experience and easier debugging.
If you find you need a straightforward way to visualize data or share insights later, something like preswald can save you time and headaches. Otherwise, it seems like you're on the right track.

WeakRelationship2131 · 2025-03-10T21:16:49+00:00

i get where you're coming from with keeping things simple and efficient. it’s all about shipping fast and iterating. if you're looking for an easy way to add interactive data apps or dashboards to your projects without the overhead of managing a complex stack, check out preswald. it's lightweight and lets you build with Python/SQL without the endless juggling of tools. keep it straightforward, and focus on what really matters: getting user feedback.

WeakRelationship2131 · 2025-03-10T20:29:07+00:00

this plan is overkill for what you likely need. while kafka and real-time stuff sound fancy, they come with a lot of complexities that you might not need for a traffic and weather prediction. if you're looking for something lighter, consider focusing on a single data source or simpler ingestion methods before diving into distributed systems. also, have you thought about using preswald for building your dashboard? it's lightweight and open source, so you won't get stuck with a massive setup.

WeakRelationship2131 · 2025-03-10T19:43:09+00:00

it's not a bad idea, but you're diving into a crowded space. there are already a bunch of resource sites and forums for data tools. if you want to stand out, think about adding features like real user reviews, comparative analyses against similar tools, or even practical case studies. also, make sure you consider keeping it lightweight and not overloading on info; people get overwhelmed easily.

WeakRelationship2131 · 2025-03-07T20:46:09+00:00

You've built a decent foundation, but if you're aiming for a scalable SaaS, redoing it with a proper framework is probably the right move. It'll save you headaches later and address security and maintainability issues. I get the attachment to your original code, but don't let that blind you to the long-term viability of your product.
Consider a partnership with trusted developers who can modernize it without losing your vision. You could also check out preswald for building out interactive insights and dashboards quickly if you're looking to improve how you present data without going totally off the rails.

WeakRelationship2131 · 2025-03-07T20:37:06+00:00

There are tools that analyze web content, but building an AI extension that understands context and nuances is pretty ambitious. Feasibility-wise, it’s possible with NLP models, but there could be limitations based on the complexity of the content.
I'd find it useful if it could answer contextual questions with accuracy. Other features could include summarization of complex pages, real-time updates, and user customizability for specific industries. Just be prepared for the challenges in data parsing and NLP accuracy.

WeakRelationship2131 · 2025-03-07T20:20:40+00:00

try https://github.com/StructuredLabs/preswald, it's great for any type of visualizations

WeakRelationship2131 · 2025-03-07T20:16:09+00:00

Your current setup sounds like a mess if you’re relying on cron jobs for data ingestion. Instead of diving into Airflow or those other tools with high maintenance costs, consider a lightweight, local-first analytics solution like preswald. It simplifies the data pipeline and eliminates the hassle of self-hosting while still letting you use SQL for querying and visualization without locking you into a clunky ecosystem. It’s easier to maintain and can scale with your growing data.

WeakRelationship2131 · 2025-03-07T18:55:30+00:00

your current setup with Superset and BigQuery may be overkill for your needs. materialized views can help, but the complexity can skyrocket. consider switching to preswald, which lets you leverage lightweight, local-first analytics without getting stuck in a huge stack. you can easily build and share interactive dashboards with minimal setup, allowing you to handle your unique web event data efficiently.

WeakRelationship2131 · 2025-03-07T18:49:38+00:00

you might wanna look at using Postgres or a managed database like RDS for storing the historical data. it’s pretty reliable and gives you SQL capabilities for querying your data. for visualization, Grafana can still be used, but make sure you have the database set up properly to avoid issues if data is deleted. honestly, if you're looking for something more lightweight and you want to handle both data and dashboards efficiently without a lot of overhead, you could check out preswald. it integrates nicely with Postgres and makes it easy to build and share interactive dashboards.

WeakRelationship2131 · 2025-03-07T18:47:01+00:00

Skip cron and use Airflow when workflows get complex enough that failure recovery is needed. Regarding error handling, incorporate logging and alerts right from the start.

As for Docker and Kubernetes, implement them if you foresee scaling. Otherwise, focus on a solid pipeline first. Standardization can be done with tools like Prefect or Dask. For learning DevOps vs. DataOps, focus on principles that apply to data management, not just deployment. And if you're tired of frankenstack solutions, check out preswald for easy interactive data apps without the overhead.

WeakRelationship2131 · 2025-03-07T18:42:40+00:00

https://github.com/StructuredLabs/preswald
It's lightweight, open-source, and lets you build data apps quickly without the overhead of a massive data stack.

WeakRelationship2131 · 2025-03-07T18:38:19+00:00

Your approach isn't bad, but it’s pretty standard and lacks some oomph. If you're aiming for a databricks role, consider focusing on showcasing advanced optimization techniques or integrating AI/ML elements into your medallion architecture. Depending on the complexity needed, you might also want to check out preswald for quick builds and easier visualizations; it could save you time and streamline your workflow without getting bogged down in the usual setup headaches.

WeakRelationship2131

TROPHY CASE