Technology · head to head
Lovable vs Quadratic

Quadratic
Spreadsheets
Infinite-canvas spreadsheet that runs Python, SQL and formulas in the same grid
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Lovable credit-metered rather than unlimited: Free plan gets 5 build credits/day capped at 30/month, plus 20 cloud-hosting credits/month and 4 AI-feature credits/month; Quadratic aI usage is metered as a dollar allowance rather than a flat entitlement, so a team that adopts the agent enthusiastically will exhaust 20 USD per user per month quickly and the true cost per seat becomes unpredictable.
- They diverge on capability: Lovable covers Natural language programming, Quadratic covers Multi-language cells.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Lovable and Quadratic actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Lovable
- Natural language programming
- Full application generation
- Real-time development
- AI pair programming
- Multi-technology support
- Automated testing
- Deployment assistance
- Code optimization
Only in Quadratic
- Multi-language cells
- Infinite canvas
- Direct database connections
- AI agent in the sheet
- WebAssembly engine
- Python package support
What people use each for
The jobs each tool is most often brought in to do.
Lovable
- SaaS and business apps: subscription products, customer dashboards, admin panelsnot Quadratic
- Consumer community and content platformsnot Quadratic
- Marketplaces: booking tools and storefrontsnot Quadratic
- Internal tools: workflow tools and operational dashboardsnot Quadratic
- Marketing landing pages and campaign sitesnot Quadratic
Quadratic
- An analyst who wants a SQL result, a Python transformation and a set of manual assumptions visible in one file instead of three toolsnot Lovable
- Ad hoc modelling where part of the logic is genuinely code and part is a judgement call typed into a cellnot Lovable
- Sharing a reproducible analysis with a colleague who will only ever open a spreadsheet, not a notebooknot Lovable
- Prototyping a data pull against a warehouse before committing it to a scheduled pipelinenot Lovable
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Lovable
- Credit-metered rather than unlimited: Free plan gets 5 build credits/day capped at 30/month, plus 20 cloud-hosting credits/month and 4 AI-feature credits/month
- Credits expire: monthly plan credits expire after 2 months unused, annual-plan credits expire 1 month after the annual period ends, and all credits are non-refundable
- Not open source; only the legacy precursor CLI gpt-engineer is open source (MIT), and that repo was archived read-only on 2026-04-22
- Hosting is free only for smaller apps; significant traffic or size draws additional charges from the credit balance
Quadratic
- AI usage is metered as a dollar allowance rather than a flat entitlement, so a team that adopts the agent enthusiastically will exhaust 20 USD per user per month quickly and the true cost per seat becomes unpredictable.
- Self-hosting is available only on the Enterprise plan, so an organisation that cannot send data to the vendor cloud has to enter a sales negotiation rather than run a container.
- Excel and Google Sheets compatibility is partial, so files with heavy conditional formatting, pivot tables or macros do not survive a round trip and have to be rebuilt.
- The product is young and the connector list is short, covering the main relational databases and two warehouses, so anything else has to be reached through Python code you write and maintain yourself.
- There is no real mobile editing experience, which matters more than it sounds for a spreadsheet because approvals and quick checks routinely happen on a phone.
Pricing, plan by plan
Lovable
FreeNo published plan breakdown. See the Lovable review.
Quadratic
Free- PersonalFree
- Limited AI usage
- Limited files and connections
- Limited sharing
- Pro$18/month
- Billed annually
- 20 USD of AI credits per month
- Unlimited files
- Business$36/month
- Billed annually
- 40 USD of AI credits per month
- Advanced permissions
- Enterprise$undefined/year
- Quoted
- Self-hosting option
- Custom AI usage
Which should you pick?
Choose Lovable if
- You need natural language programming.
- You want to start without paying.
- You also want full application generation.
Choose Quadratic if
- You need multi-language cells.
- You want to start without paying.
- You work on Web, macOS, Windows, Linux.
- You also want infinite canvas.
Questions people ask
- Is Lovable or Quadratic better?
- Neither clearly leads. Lovable starts at Free and Quadratic at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Lovable or Quadratic?
- Lovable starts at Free and Quadratic at Free.
- Does Lovable or Quadratic run on more platforms?
- Lovable runs on Web. Quadratic runs on Web, macOS, Windows, Linux.
- Can I use Lovable for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Lovable best used for?
- Lovable is most often used for saas and business apps: subscription products, customer dashboards, admin panels, consumer community and content platforms, marketplaces: booking tools and storefronts, internal tools: workflow tools and operational dashboards. Of those, saas and business apps: subscription products, customer dashboards, admin panels and consumer community and content platforms are not what Quadratic is typically brought in for.
- What can Lovable do that Quadratic cannot?
- Lovable covers Natural language programming, Full application generation, Real-time development, AI pair programming. Quadratic covers Multi-language cells, Infinite canvas, Direct database connections, AI agent in the sheet.
Answered from the vendors’ own pages
Lovable: What is included in Lovable's free plan?
The free plan includes 5 build credits per day (up to 30 per month), 20 Cloud credits per month, and 4 AI feature credits for trying features in apps. All plan members can access unlimited workspace members.
SourceQuadratic: Do I need to know Python to use it?
No, formulas work on their own, but the reason to choose Quadratic over Google Sheets is the code cells, so a team with no Python will not get the value.
Lovable: How do credits work in Lovable's paid plans?
Lovable uses a credit-based model where costs depend on monthly credit allocation rather than per-seat pricing. Build tasks consume variable credits ranging from 0.50 to 1.70 credits depending on complexity, or 1 credit per message in Plan Mode.
SourceQuadratic: What happens when the AI credits run out?
Prompting stops until the next monthly reset or until you move up a plan; the spreadsheet itself keeps working normally.
Lovable: Do credits expire in Lovable?
Yes, credit expiration depends on the plan: monthly plan credits expire 2 months after issuance, annual plan credits expire 1 month after the annual period ends, and top-up credits expire 12 months from purchase. Daily grants expire daily with no rollover.
SourceQuadratic: Can it replace a BI tool?
Not for scheduled distribution or governed metrics. It is for exploratory work by one person or a small team, not for dashboards a hundred people read.
Lovable: Are there additional costs for app hosting on Lovable?
Most small and new apps run free under included grants, but larger apps with significant traffic incur charges against the credit balance.
SourceQuadratic: Is my database query sent to the vendor?
Connections run through the vendor service on all plans except Enterprise self-hosting, which is the option to take if that is unacceptable.
Lovable: Does Lovable offer educational discounts?
Yes, a student discount is available with a valid university email.
SourceRelated pages
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